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You searched for +publisher:"Texas A&M University" +contributor:("McVay, Duane A."). Showing records 1 – 30 of 54 total matches.

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Texas A&M University

1. Valdes Machado, Alejandro. Uncertainty Quantification and Calibration in Well Construction Cost Estimates.

Degree: MS, Petroleum Engineering, 2013, Texas A&M University

 The feasibility and success of petroleum development projects depend to a large degree on well construction costs. Well construction cost estimates often contain high levels… (more)

Subjects/Keywords: Uncertainty quantification; well cost estimation; drilling engineering; probabilistic analysis

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APA (6th Edition):

Valdes Machado, A. (2013). Uncertainty Quantification and Calibration in Well Construction Cost Estimates. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/151343

Chicago Manual of Style (16th Edition):

Valdes Machado, Alejandro. “Uncertainty Quantification and Calibration in Well Construction Cost Estimates.” 2013. Masters Thesis, Texas A&M University. Accessed September 28, 2020. http://hdl.handle.net/1969.1/151343.

MLA Handbook (7th Edition):

Valdes Machado, Alejandro. “Uncertainty Quantification and Calibration in Well Construction Cost Estimates.” 2013. Web. 28 Sep 2020.

Vancouver:

Valdes Machado A. Uncertainty Quantification and Calibration in Well Construction Cost Estimates. [Internet] [Masters thesis]. Texas A&M University; 2013. [cited 2020 Sep 28]. Available from: http://hdl.handle.net/1969.1/151343.

Council of Science Editors:

Valdes Machado A. Uncertainty Quantification and Calibration in Well Construction Cost Estimates. [Masters Thesis]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/151343


Texas A&M University

2. Zhou, Yuyang. THE APPLICATION OF PRINCIPAL COMPONENT ANALYSIS IN PRODUCTION FORECASTING.

Degree: MS, Petroleum Engineering, 2017, Texas A&M University

 Current methods of production forecasting, such as Decline Curve Analysis and Rate Transient Analysis, require years of production data, and their accuracy is affected by… (more)

Subjects/Keywords: Machine learning; principal component analysis; reserve estimation; production forecasting; clustering

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APA (6th Edition):

Zhou, Y. (2017). THE APPLICATION OF PRINCIPAL COMPONENT ANALYSIS IN PRODUCTION FORECASTING. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/169590

Chicago Manual of Style (16th Edition):

Zhou, Yuyang. “THE APPLICATION OF PRINCIPAL COMPONENT ANALYSIS IN PRODUCTION FORECASTING.” 2017. Masters Thesis, Texas A&M University. Accessed September 28, 2020. http://hdl.handle.net/1969.1/169590.

MLA Handbook (7th Edition):

Zhou, Yuyang. “THE APPLICATION OF PRINCIPAL COMPONENT ANALYSIS IN PRODUCTION FORECASTING.” 2017. Web. 28 Sep 2020.

Vancouver:

Zhou Y. THE APPLICATION OF PRINCIPAL COMPONENT ANALYSIS IN PRODUCTION FORECASTING. [Internet] [Masters thesis]. Texas A&M University; 2017. [cited 2020 Sep 28]. Available from: http://hdl.handle.net/1969.1/169590.

Council of Science Editors:

Zhou Y. THE APPLICATION OF PRINCIPAL COMPONENT ANALYSIS IN PRODUCTION FORECASTING. [Masters Thesis]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/169590


Texas A&M University

3. Suliman, Mohamed Ibrahim Omar. Investigation of Consistency Between Deterministic and Probabilistic Reserves Estimates Using Reservoir Simulation.

Degree: MS, Petroleum Engineering, 2016, Texas A&M University

 Over time, oil and gas producing companies have used various techniques and approaches to estimate their hydrocarbon reserves. Their approaches are set according to their… (more)

Subjects/Keywords: reservoir simulation reserves estimation

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APA (6th Edition):

Suliman, M. I. O. (2016). Investigation of Consistency Between Deterministic and Probabilistic Reserves Estimates Using Reservoir Simulation. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/158126

Chicago Manual of Style (16th Edition):

Suliman, Mohamed Ibrahim Omar. “Investigation of Consistency Between Deterministic and Probabilistic Reserves Estimates Using Reservoir Simulation.” 2016. Masters Thesis, Texas A&M University. Accessed September 28, 2020. http://hdl.handle.net/1969.1/158126.

MLA Handbook (7th Edition):

Suliman, Mohamed Ibrahim Omar. “Investigation of Consistency Between Deterministic and Probabilistic Reserves Estimates Using Reservoir Simulation.” 2016. Web. 28 Sep 2020.

Vancouver:

Suliman MIO. Investigation of Consistency Between Deterministic and Probabilistic Reserves Estimates Using Reservoir Simulation. [Internet] [Masters thesis]. Texas A&M University; 2016. [cited 2020 Sep 28]. Available from: http://hdl.handle.net/1969.1/158126.

Council of Science Editors:

Suliman MIO. Investigation of Consistency Between Deterministic and Probabilistic Reserves Estimates Using Reservoir Simulation. [Masters Thesis]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/158126


Texas A&M University

4. Eleiott, Alexander Charles. A New Type Curve Approach to the Construction of Type Wells for the Analysis of Multi-Fractured Horizontal Wells in Low Permeability Plays.

Degree: MS, Petroleum Engineering, 2018, Texas A&M University

 The oil and gas industry has urgent need for accurate methods to forecast performance of future wells and of those without extensive production histories producing… (more)

Subjects/Keywords: MFHW; multi-fractured horizontal well; type curve; type well

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APA (6th Edition):

Eleiott, A. C. (2018). A New Type Curve Approach to the Construction of Type Wells for the Analysis of Multi-Fractured Horizontal Wells in Low Permeability Plays. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/174315

Chicago Manual of Style (16th Edition):

Eleiott, Alexander Charles. “A New Type Curve Approach to the Construction of Type Wells for the Analysis of Multi-Fractured Horizontal Wells in Low Permeability Plays.” 2018. Masters Thesis, Texas A&M University. Accessed September 28, 2020. http://hdl.handle.net/1969.1/174315.

MLA Handbook (7th Edition):

Eleiott, Alexander Charles. “A New Type Curve Approach to the Construction of Type Wells for the Analysis of Multi-Fractured Horizontal Wells in Low Permeability Plays.” 2018. Web. 28 Sep 2020.

Vancouver:

Eleiott AC. A New Type Curve Approach to the Construction of Type Wells for the Analysis of Multi-Fractured Horizontal Wells in Low Permeability Plays. [Internet] [Masters thesis]. Texas A&M University; 2018. [cited 2020 Sep 28]. Available from: http://hdl.handle.net/1969.1/174315.

Council of Science Editors:

Eleiott AC. A New Type Curve Approach to the Construction of Type Wells for the Analysis of Multi-Fractured Horizontal Wells in Low Permeability Plays. [Masters Thesis]. Texas A&M University; 2018. Available from: http://hdl.handle.net/1969.1/174315


Texas A&M University

5. Whitmire, Ryan Daniel. Applying Uncertainty Quantification and Value-of-Information Concepts in Unconventional Reservoir Development.

Degree: MS, Petroleum Engineering, 2018, Texas A&M University

 The oil and gas industry has a long history of underperformance relative to forecasts. Underperformance in the industry has been directly linked to poor assessment… (more)

Subjects/Keywords: information; unconventional

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APA (6th Edition):

Whitmire, R. D. (2018). Applying Uncertainty Quantification and Value-of-Information Concepts in Unconventional Reservoir Development. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/173632

Chicago Manual of Style (16th Edition):

Whitmire, Ryan Daniel. “Applying Uncertainty Quantification and Value-of-Information Concepts in Unconventional Reservoir Development.” 2018. Masters Thesis, Texas A&M University. Accessed September 28, 2020. http://hdl.handle.net/1969.1/173632.

MLA Handbook (7th Edition):

Whitmire, Ryan Daniel. “Applying Uncertainty Quantification and Value-of-Information Concepts in Unconventional Reservoir Development.” 2018. Web. 28 Sep 2020.

Vancouver:

Whitmire RD. Applying Uncertainty Quantification and Value-of-Information Concepts in Unconventional Reservoir Development. [Internet] [Masters thesis]. Texas A&M University; 2018. [cited 2020 Sep 28]. Available from: http://hdl.handle.net/1969.1/173632.

Council of Science Editors:

Whitmire RD. Applying Uncertainty Quantification and Value-of-Information Concepts in Unconventional Reservoir Development. [Masters Thesis]. Texas A&M University; 2018. Available from: http://hdl.handle.net/1969.1/173632


Texas A&M University

6. Gomez Gomez, Diana Marcela. Assessment of the Reliability of Reserves Estimates of Public Companies in the U.S. and Canada.

Degree: MS, Petroleum Engineering, 2019, Texas A&M University

 Estimation of reserves is a process used to quantify the volumes of hydrocarbon fluids that can be recovered economically from a reservoir, field, area or… (more)

Subjects/Keywords: Reserves; Reliability

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APA (6th Edition):

Gomez Gomez, D. M. (2019). Assessment of the Reliability of Reserves Estimates of Public Companies in the U.S. and Canada. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/187585

Chicago Manual of Style (16th Edition):

Gomez Gomez, Diana Marcela. “Assessment of the Reliability of Reserves Estimates of Public Companies in the U.S. and Canada.” 2019. Masters Thesis, Texas A&M University. Accessed September 28, 2020. http://hdl.handle.net/1969.1/187585.

MLA Handbook (7th Edition):

Gomez Gomez, Diana Marcela. “Assessment of the Reliability of Reserves Estimates of Public Companies in the U.S. and Canada.” 2019. Web. 28 Sep 2020.

Vancouver:

Gomez Gomez DM. Assessment of the Reliability of Reserves Estimates of Public Companies in the U.S. and Canada. [Internet] [Masters thesis]. Texas A&M University; 2019. [cited 2020 Sep 28]. Available from: http://hdl.handle.net/1969.1/187585.

Council of Science Editors:

Gomez Gomez DM. Assessment of the Reliability of Reserves Estimates of Public Companies in the U.S. and Canada. [Masters Thesis]. Texas A&M University; 2019. Available from: http://hdl.handle.net/1969.1/187585


Texas A&M University

7. Bhuripanyo, Chanapol. Quantifying the Benefit of Ensemble Selection for Optimization Under Uncertainty.

Degree: MS, Petroleum Engineering, 2014, Texas A&M University

 Due to significant uncertainty in reservoir parameters, maximizing reservoir potential is an extremely difficult task. To be able to make decisions that maximize the reservoir… (more)

Subjects/Keywords: Optimization

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APA (6th Edition):

Bhuripanyo, C. (2014). Quantifying the Benefit of Ensemble Selection for Optimization Under Uncertainty. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/153532

Chicago Manual of Style (16th Edition):

Bhuripanyo, Chanapol. “Quantifying the Benefit of Ensemble Selection for Optimization Under Uncertainty.” 2014. Masters Thesis, Texas A&M University. Accessed September 28, 2020. http://hdl.handle.net/1969.1/153532.

MLA Handbook (7th Edition):

Bhuripanyo, Chanapol. “Quantifying the Benefit of Ensemble Selection for Optimization Under Uncertainty.” 2014. Web. 28 Sep 2020.

Vancouver:

Bhuripanyo C. Quantifying the Benefit of Ensemble Selection for Optimization Under Uncertainty. [Internet] [Masters thesis]. Texas A&M University; 2014. [cited 2020 Sep 28]. Available from: http://hdl.handle.net/1969.1/153532.

Council of Science Editors:

Bhuripanyo C. Quantifying the Benefit of Ensemble Selection for Optimization Under Uncertainty. [Masters Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/153532


Texas A&M University

8. Aggarwal, Akshay. Performance of Assisted History Matching Techniques When Utilizing Multiple Initial Geologic Models.

Degree: MS, Petroleum Engineering, 2011, Texas A&M University

 History matching is a process wherein changes are made to an initial geologic model of a reservoir, so that the predicted reservoir performance matches with… (more)

Subjects/Keywords: Reservoir Simulation; Reservoir Modeling; History Matching

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APA (6th Edition):

Aggarwal, A. (2011). Performance of Assisted History Matching Techniques When Utilizing Multiple Initial Geologic Models. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/148464

Chicago Manual of Style (16th Edition):

Aggarwal, Akshay. “Performance of Assisted History Matching Techniques When Utilizing Multiple Initial Geologic Models.” 2011. Masters Thesis, Texas A&M University. Accessed September 28, 2020. http://hdl.handle.net/1969.1/148464.

MLA Handbook (7th Edition):

Aggarwal, Akshay. “Performance of Assisted History Matching Techniques When Utilizing Multiple Initial Geologic Models.” 2011. Web. 28 Sep 2020.

Vancouver:

Aggarwal A. Performance of Assisted History Matching Techniques When Utilizing Multiple Initial Geologic Models. [Internet] [Masters thesis]. Texas A&M University; 2011. [cited 2020 Sep 28]. Available from: http://hdl.handle.net/1969.1/148464.

Council of Science Editors:

Aggarwal A. Performance of Assisted History Matching Techniques When Utilizing Multiple Initial Geologic Models. [Masters Thesis]. Texas A&M University; 2011. Available from: http://hdl.handle.net/1969.1/148464


Texas A&M University

9. Alarfaj, Malik Khalid M. Measuring and Improving the Reliability of Probabilistic Assessments in Petroleum Engineering.

Degree: PhD, Interdisciplinary Engineering, 2018, Texas A&M University

 Petroleum industry performance has been consistently below expectations. This underperformance has been attributed in part to the existence of cognitive biases in project evaluation, resulting… (more)

Subjects/Keywords: Uncertainty; Reliability; Forecasting; Probabilistic Assessments; Calibration; Biases

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APA (6th Edition):

Alarfaj, M. K. M. (2018). Measuring and Improving the Reliability of Probabilistic Assessments in Petroleum Engineering. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/174120

Chicago Manual of Style (16th Edition):

Alarfaj, Malik Khalid M. “Measuring and Improving the Reliability of Probabilistic Assessments in Petroleum Engineering.” 2018. Doctoral Dissertation, Texas A&M University. Accessed September 28, 2020. http://hdl.handle.net/1969.1/174120.

MLA Handbook (7th Edition):

Alarfaj, Malik Khalid M. “Measuring and Improving the Reliability of Probabilistic Assessments in Petroleum Engineering.” 2018. Web. 28 Sep 2020.

Vancouver:

Alarfaj MKM. Measuring and Improving the Reliability of Probabilistic Assessments in Petroleum Engineering. [Internet] [Doctoral dissertation]. Texas A&M University; 2018. [cited 2020 Sep 28]. Available from: http://hdl.handle.net/1969.1/174120.

Council of Science Editors:

Alarfaj MKM. Measuring and Improving the Reliability of Probabilistic Assessments in Petroleum Engineering. [Doctoral Dissertation]. Texas A&M University; 2018. Available from: http://hdl.handle.net/1969.1/174120


Texas A&M University

10. Almohammadi, Hisham Hassan S. Multi-Level Continuous Data Assimilation and Uncertainty Quantification of Reservoir Models Using Ensemble Kalman Filter and Two-Stage Markov-Chain Monte Carlo.

Degree: PhD, Petroleum Engineering, 2018, Texas A&M University

 It is common practice to base decisions related to reservoir development and operations on reservoir models. Keeping these models updated and adequately quantifying subsurface uncertainty… (more)

Subjects/Keywords: MCMC; EnKF; DCT

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APA (6th Edition):

Almohammadi, H. H. S. (2018). Multi-Level Continuous Data Assimilation and Uncertainty Quantification of Reservoir Models Using Ensemble Kalman Filter and Two-Stage Markov-Chain Monte Carlo. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/174310

Chicago Manual of Style (16th Edition):

Almohammadi, Hisham Hassan S. “Multi-Level Continuous Data Assimilation and Uncertainty Quantification of Reservoir Models Using Ensemble Kalman Filter and Two-Stage Markov-Chain Monte Carlo.” 2018. Doctoral Dissertation, Texas A&M University. Accessed September 28, 2020. http://hdl.handle.net/1969.1/174310.

MLA Handbook (7th Edition):

Almohammadi, Hisham Hassan S. “Multi-Level Continuous Data Assimilation and Uncertainty Quantification of Reservoir Models Using Ensemble Kalman Filter and Two-Stage Markov-Chain Monte Carlo.” 2018. Web. 28 Sep 2020.

Vancouver:

Almohammadi HHS. Multi-Level Continuous Data Assimilation and Uncertainty Quantification of Reservoir Models Using Ensemble Kalman Filter and Two-Stage Markov-Chain Monte Carlo. [Internet] [Doctoral dissertation]. Texas A&M University; 2018. [cited 2020 Sep 28]. Available from: http://hdl.handle.net/1969.1/174310.

Council of Science Editors:

Almohammadi HHS. Multi-Level Continuous Data Assimilation and Uncertainty Quantification of Reservoir Models Using Ensemble Kalman Filter and Two-Stage Markov-Chain Monte Carlo. [Doctoral Dissertation]. Texas A&M University; 2018. Available from: http://hdl.handle.net/1969.1/174310


Texas A&M University

11. Nikfarman, Hanieh. Forecasting Production in Liquid Rich Shale Plays.

Degree: PhD, Petroleum Engineering, 2016, Texas A&M University

 Production from Liquid Rich Shale (LRS) reservoirs is taking center stage in the exploration and production of unconventional reservoirs. Production from the low and ultra-low… (more)

Subjects/Keywords: Forecasting; Liquid Rich Shale; LRS; Production Forecasting; Workflow

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APA (6th Edition):

Nikfarman, H. (2016). Forecasting Production in Liquid Rich Shale Plays. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/156828

Chicago Manual of Style (16th Edition):

Nikfarman, Hanieh. “Forecasting Production in Liquid Rich Shale Plays.” 2016. Doctoral Dissertation, Texas A&M University. Accessed September 28, 2020. http://hdl.handle.net/1969.1/156828.

MLA Handbook (7th Edition):

Nikfarman, Hanieh. “Forecasting Production in Liquid Rich Shale Plays.” 2016. Web. 28 Sep 2020.

Vancouver:

Nikfarman H. Forecasting Production in Liquid Rich Shale Plays. [Internet] [Doctoral dissertation]. Texas A&M University; 2016. [cited 2020 Sep 28]. Available from: http://hdl.handle.net/1969.1/156828.

Council of Science Editors:

Nikfarman H. Forecasting Production in Liquid Rich Shale Plays. [Doctoral Dissertation]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/156828


Texas A&M University

12. Paradis, Kyle Oneil. Improved Well Cost Estimation Through Uncertainty Quantification.

Degree: MS, Petroleum Engineering, 2016, Texas A&M University

 The study was initiated to develop more accurate well cost estimations for drilling and completion Authorization for Expenditures (AFE). Specifically, a privately funded company (Company… (more)

Subjects/Keywords: uncertainty quantification; well cost estimation

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APA (6th Edition):

Paradis, K. O. (2016). Improved Well Cost Estimation Through Uncertainty Quantification. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/174239

Chicago Manual of Style (16th Edition):

Paradis, Kyle Oneil. “Improved Well Cost Estimation Through Uncertainty Quantification.” 2016. Masters Thesis, Texas A&M University. Accessed September 28, 2020. http://hdl.handle.net/1969.1/174239.

MLA Handbook (7th Edition):

Paradis, Kyle Oneil. “Improved Well Cost Estimation Through Uncertainty Quantification.” 2016. Web. 28 Sep 2020.

Vancouver:

Paradis KO. Improved Well Cost Estimation Through Uncertainty Quantification. [Internet] [Masters thesis]. Texas A&M University; 2016. [cited 2020 Sep 28]. Available from: http://hdl.handle.net/1969.1/174239.

Council of Science Editors:

Paradis KO. Improved Well Cost Estimation Through Uncertainty Quantification. [Masters Thesis]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/174239


Texas A&M University

13. Sen, Deepthi. Probabilistic Estimation of Shale-Oil Resources in 93 Global Formations in 36 Countries.

Degree: MS, Petroleum Engineering, 2017, Texas A&M University

 An in-depth probabilistic study of global shale-oil resources is presently absent in literature. In 2013, the Energy Information Agency (EIA) reported the total volumes of… (more)

Subjects/Keywords: Shale oil; Resource assessment; Probabilistic; Volumetric; Original oil in place; Technically recoverable resources

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APA (6th Edition):

Sen, D. (2017). Probabilistic Estimation of Shale-Oil Resources in 93 Global Formations in 36 Countries. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/165984

Chicago Manual of Style (16th Edition):

Sen, Deepthi. “Probabilistic Estimation of Shale-Oil Resources in 93 Global Formations in 36 Countries.” 2017. Masters Thesis, Texas A&M University. Accessed September 28, 2020. http://hdl.handle.net/1969.1/165984.

MLA Handbook (7th Edition):

Sen, Deepthi. “Probabilistic Estimation of Shale-Oil Resources in 93 Global Formations in 36 Countries.” 2017. Web. 28 Sep 2020.

Vancouver:

Sen D. Probabilistic Estimation of Shale-Oil Resources in 93 Global Formations in 36 Countries. [Internet] [Masters thesis]. Texas A&M University; 2017. [cited 2020 Sep 28]. Available from: http://hdl.handle.net/1969.1/165984.

Council of Science Editors:

Sen D. Probabilistic Estimation of Shale-Oil Resources in 93 Global Formations in 36 Countries. [Masters Thesis]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/165984


Texas A&M University

14. Mayol, Juan Cruz. Assessment of Oil and Gas Resources in the Vaca Muerta Shale, Neuquén Basin, Argentina.

Degree: MS, Petroleum Engineering, 2019, Texas A&M University

 According to the 2015 Energy Information Administration (EIA) global assessment (EIA 2015), Argentina ranks third among countries in shale-gas resources and fourth in shale-oil resources.… (more)

Subjects/Keywords: Vaca Muerta; Shale; Oil; Gas; Uconventional; Reserves; Probabilistic; Argentina; Neuquen; Geology; DCA; Resources; Petroleum

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APA (6th Edition):

Mayol, J. C. (2019). Assessment of Oil and Gas Resources in the Vaca Muerta Shale, Neuquén Basin, Argentina. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/187566

Chicago Manual of Style (16th Edition):

Mayol, Juan Cruz. “Assessment of Oil and Gas Resources in the Vaca Muerta Shale, Neuquén Basin, Argentina.” 2019. Masters Thesis, Texas A&M University. Accessed September 28, 2020. http://hdl.handle.net/1969.1/187566.

MLA Handbook (7th Edition):

Mayol, Juan Cruz. “Assessment of Oil and Gas Resources in the Vaca Muerta Shale, Neuquén Basin, Argentina.” 2019. Web. 28 Sep 2020.

Vancouver:

Mayol JC. Assessment of Oil and Gas Resources in the Vaca Muerta Shale, Neuquén Basin, Argentina. [Internet] [Masters thesis]. Texas A&M University; 2019. [cited 2020 Sep 28]. Available from: http://hdl.handle.net/1969.1/187566.

Council of Science Editors:

Mayol JC. Assessment of Oil and Gas Resources in the Vaca Muerta Shale, Neuquén Basin, Argentina. [Masters Thesis]. Texas A&M University; 2019. Available from: http://hdl.handle.net/1969.1/187566


Texas A&M University

15. Mostafa, Moetaz Y. Reservoir Simulation and Evaluation of the Upper Jurassic Smackover Microbial Carbonate and Grainstone-Packstone Reservoirs in Little Cedar Creek Field, Conecuh County, Alabama.

Degree: MS, Geology, 2013, Texas A&M University

 This thesis presents an integrated study of mature carbonate oil reservoirs (Upper Jurassic Smackover Formation) undergoing gas injection in the Little Cedar Creek Field located… (more)

Subjects/Keywords: Little Cedar Creek Field; Smackover Microbial Carbonate; Reservoir Simulation

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APA (6th Edition):

Mostafa, M. Y. (2013). Reservoir Simulation and Evaluation of the Upper Jurassic Smackover Microbial Carbonate and Grainstone-Packstone Reservoirs in Little Cedar Creek Field, Conecuh County, Alabama. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/152443

Chicago Manual of Style (16th Edition):

Mostafa, Moetaz Y. “Reservoir Simulation and Evaluation of the Upper Jurassic Smackover Microbial Carbonate and Grainstone-Packstone Reservoirs in Little Cedar Creek Field, Conecuh County, Alabama.” 2013. Masters Thesis, Texas A&M University. Accessed September 28, 2020. http://hdl.handle.net/1969.1/152443.

MLA Handbook (7th Edition):

Mostafa, Moetaz Y. “Reservoir Simulation and Evaluation of the Upper Jurassic Smackover Microbial Carbonate and Grainstone-Packstone Reservoirs in Little Cedar Creek Field, Conecuh County, Alabama.” 2013. Web. 28 Sep 2020.

Vancouver:

Mostafa MY. Reservoir Simulation and Evaluation of the Upper Jurassic Smackover Microbial Carbonate and Grainstone-Packstone Reservoirs in Little Cedar Creek Field, Conecuh County, Alabama. [Internet] [Masters thesis]. Texas A&M University; 2013. [cited 2020 Sep 28]. Available from: http://hdl.handle.net/1969.1/152443.

Council of Science Editors:

Mostafa MY. Reservoir Simulation and Evaluation of the Upper Jurassic Smackover Microbial Carbonate and Grainstone-Packstone Reservoirs in Little Cedar Creek Field, Conecuh County, Alabama. [Masters Thesis]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/152443


Texas A&M University

16. Sehbi, Baljit Singh. Performance Analysis & Optimization of Well Production in Unconventional Resource Plays.

Degree: PhD, Petroleum Engineering, 2013, Texas A&M University

 The Unconventional Resource Plays consisting of the lowest tier of resources (large volumes and most difficult to develop) have been the main focus of US… (more)

Subjects/Keywords: Unconventional Resource Plays; Reservoir Simulation; Microseismic Data; Liquid Rich Shale Plays; Inverse Modeling; Near-critical fluids EOS

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APA (6th Edition):

Sehbi, B. S. (2013). Performance Analysis & Optimization of Well Production in Unconventional Resource Plays. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/149482

Chicago Manual of Style (16th Edition):

Sehbi, Baljit Singh. “Performance Analysis & Optimization of Well Production in Unconventional Resource Plays.” 2013. Doctoral Dissertation, Texas A&M University. Accessed September 28, 2020. http://hdl.handle.net/1969.1/149482.

MLA Handbook (7th Edition):

Sehbi, Baljit Singh. “Performance Analysis & Optimization of Well Production in Unconventional Resource Plays.” 2013. Web. 28 Sep 2020.

Vancouver:

Sehbi BS. Performance Analysis & Optimization of Well Production in Unconventional Resource Plays. [Internet] [Doctoral dissertation]. Texas A&M University; 2013. [cited 2020 Sep 28]. Available from: http://hdl.handle.net/1969.1/149482.

Council of Science Editors:

Sehbi BS. Performance Analysis & Optimization of Well Production in Unconventional Resource Plays. [Doctoral Dissertation]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/149482


Texas A&M University

17. Alahmadi, Hasan Ali H. A Model for Optimizing Energy Investments and Policy Under Uncertainty with Application to Saudi Arabia.

Degree: PhD, Petroleum Engineering, 2016, Texas A&M University

 An energy producer must determine optimal energy investment strategies in order to maximize the value of its energy portfolio. Determining optimal investment strategies is challenging.… (more)

Subjects/Keywords: Energy Optimization; Uncertainty Quantification; Probabilistic Energy Modeling; Energy Economics

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APA (6th Edition):

Alahmadi, H. A. H. (2016). A Model for Optimizing Energy Investments and Policy Under Uncertainty with Application to Saudi Arabia. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/157993

Chicago Manual of Style (16th Edition):

Alahmadi, Hasan Ali H. “A Model for Optimizing Energy Investments and Policy Under Uncertainty with Application to Saudi Arabia.” 2016. Doctoral Dissertation, Texas A&M University. Accessed September 28, 2020. http://hdl.handle.net/1969.1/157993.

MLA Handbook (7th Edition):

Alahmadi, Hasan Ali H. “A Model for Optimizing Energy Investments and Policy Under Uncertainty with Application to Saudi Arabia.” 2016. Web. 28 Sep 2020.

Vancouver:

Alahmadi HAH. A Model for Optimizing Energy Investments and Policy Under Uncertainty with Application to Saudi Arabia. [Internet] [Doctoral dissertation]. Texas A&M University; 2016. [cited 2020 Sep 28]. Available from: http://hdl.handle.net/1969.1/157993.

Council of Science Editors:

Alahmadi HAH. A Model for Optimizing Energy Investments and Policy Under Uncertainty with Application to Saudi Arabia. [Doctoral Dissertation]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/157993


Texas A&M University

18. Dong, Zhenzhen. A New Global Unconventional Natural Gas Resource Assessment.

Degree: PhD, Petroleum Engineering, 2012, Texas A&M University

 In 1997, Rogner published a paper containing an estimate of the natural gas in place in unconventional reservoirs for 11 world regions. Rogner's work was… (more)

Subjects/Keywords: shale gas; Tight sands gas; coalbed methane; original gas-in-place; technically recoverable resource

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APA (6th Edition):

Dong, Z. (2012). A New Global Unconventional Natural Gas Resource Assessment. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11875

Chicago Manual of Style (16th Edition):

Dong, Zhenzhen. “A New Global Unconventional Natural Gas Resource Assessment.” 2012. Doctoral Dissertation, Texas A&M University. Accessed September 28, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11875.

MLA Handbook (7th Edition):

Dong, Zhenzhen. “A New Global Unconventional Natural Gas Resource Assessment.” 2012. Web. 28 Sep 2020.

Vancouver:

Dong Z. A New Global Unconventional Natural Gas Resource Assessment. [Internet] [Doctoral dissertation]. Texas A&M University; 2012. [cited 2020 Sep 28]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11875.

Council of Science Editors:

Dong Z. A New Global Unconventional Natural Gas Resource Assessment. [Doctoral Dissertation]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11875


Texas A&M University

19. Vyas, Aditya. Application of Machine Learning in Well Performance Prediction, Design Optimization and History Matching.

Degree: PhD, Petroleum Engineering, 2017, Texas A&M University

 Finite difference based reservoir simulation is commonly used to predict well rates in these reservoirs. Such detailed simulation requires an accurate knowledge of reservoir geology.… (more)

Subjects/Keywords: Unconventional Reservoirs; Machine Learning; Data Analytics; Decline Curves; Hydraulic Fracture Optimization; History Matching

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APA (6th Edition):

Vyas, A. (2017). Application of Machine Learning in Well Performance Prediction, Design Optimization and History Matching. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/187248

Chicago Manual of Style (16th Edition):

Vyas, Aditya. “Application of Machine Learning in Well Performance Prediction, Design Optimization and History Matching.” 2017. Doctoral Dissertation, Texas A&M University. Accessed September 28, 2020. http://hdl.handle.net/1969.1/187248.

MLA Handbook (7th Edition):

Vyas, Aditya. “Application of Machine Learning in Well Performance Prediction, Design Optimization and History Matching.” 2017. Web. 28 Sep 2020.

Vancouver:

Vyas A. Application of Machine Learning in Well Performance Prediction, Design Optimization and History Matching. [Internet] [Doctoral dissertation]. Texas A&M University; 2017. [cited 2020 Sep 28]. Available from: http://hdl.handle.net/1969.1/187248.

Council of Science Editors:

Vyas A. Application of Machine Learning in Well Performance Prediction, Design Optimization and History Matching. [Doctoral Dissertation]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/187248

20. Ortiz Prada, Rubiel Paul. Integrated Multi-Well Reservoir and Decision Model to Determine Optimal Well Spacing in Unconventional Gas Reservoirs.

Degree: MS, Petroleum Engineering, 2012, Texas A&M University

 Optimizing well spacing in unconventional gas reservoirs is difficult due to complex heterogeneity, large variability and uncertainty in reservoir properties, and lack of data that… (more)

Subjects/Keywords: Unconventional Gas Reservoir; Well Spacing; Reservoir Model; Decision Model

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APA (6th Edition):

Ortiz Prada, R. P. (2012). Integrated Multi-Well Reservoir and Decision Model to Determine Optimal Well Spacing in Unconventional Gas Reservoirs. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8805

Chicago Manual of Style (16th Edition):

Ortiz Prada, Rubiel Paul. “Integrated Multi-Well Reservoir and Decision Model to Determine Optimal Well Spacing in Unconventional Gas Reservoirs.” 2012. Masters Thesis, Texas A&M University. Accessed September 28, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8805.

MLA Handbook (7th Edition):

Ortiz Prada, Rubiel Paul. “Integrated Multi-Well Reservoir and Decision Model to Determine Optimal Well Spacing in Unconventional Gas Reservoirs.” 2012. Web. 28 Sep 2020.

Vancouver:

Ortiz Prada RP. Integrated Multi-Well Reservoir and Decision Model to Determine Optimal Well Spacing in Unconventional Gas Reservoirs. [Internet] [Masters thesis]. Texas A&M University; 2012. [cited 2020 Sep 28]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8805.

Council of Science Editors:

Ortiz Prada RP. Integrated Multi-Well Reservoir and Decision Model to Determine Optimal Well Spacing in Unconventional Gas Reservoirs. [Masters Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8805

21. Alfajri, Reza. Probabilistic Reserves and Resources Estimation of the West Virginia Marcellus Shale Play Using the MCMC PDCA Method.

Degree: MS, Petroleum Engineering, 2015, Texas A&M University

 The Marcellus shale is currently the most productive shale play in the United States. In 2015, the Marcellus shale play led in natural gas production… (more)

Subjects/Keywords: Unconventional; Marcellus; Shale Gas; Shale Play; MCMC; Reserves; Resources; Estimates; Decline Curve Analysis; Probabilistic

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APA (6th Edition):

Alfajri, R. (2015). Probabilistic Reserves and Resources Estimation of the West Virginia Marcellus Shale Play Using the MCMC PDCA Method. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/156377

Chicago Manual of Style (16th Edition):

Alfajri, Reza. “Probabilistic Reserves and Resources Estimation of the West Virginia Marcellus Shale Play Using the MCMC PDCA Method.” 2015. Masters Thesis, Texas A&M University. Accessed September 28, 2020. http://hdl.handle.net/1969.1/156377.

MLA Handbook (7th Edition):

Alfajri, Reza. “Probabilistic Reserves and Resources Estimation of the West Virginia Marcellus Shale Play Using the MCMC PDCA Method.” 2015. Web. 28 Sep 2020.

Vancouver:

Alfajri R. Probabilistic Reserves and Resources Estimation of the West Virginia Marcellus Shale Play Using the MCMC PDCA Method. [Internet] [Masters thesis]. Texas A&M University; 2015. [cited 2020 Sep 28]. Available from: http://hdl.handle.net/1969.1/156377.

Council of Science Editors:

Alfajri R. Probabilistic Reserves and Resources Estimation of the West Virginia Marcellus Shale Play Using the MCMC PDCA Method. [Masters Thesis]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/156377

22. Almohammadi, Hisham. Continuous Model Updating and Forecasting for a Naturally Fractured Reservoir.

Degree: MS, Petroleum Engineering, 2013, Texas A&M University

 Recent developments in instrumentation, communication and software have enabled the integration of real-time data into the decision-making process of hydrocarbon production. Applications of real-time data… (more)

Subjects/Keywords: continuous model updating; MCMC; uncertainty quantification; Metropolis-Hasting

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APA (6th Edition):

Almohammadi, H. (2013). Continuous Model Updating and Forecasting for a Naturally Fractured Reservoir. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/151278

Chicago Manual of Style (16th Edition):

Almohammadi, Hisham. “Continuous Model Updating and Forecasting for a Naturally Fractured Reservoir.” 2013. Masters Thesis, Texas A&M University. Accessed September 28, 2020. http://hdl.handle.net/1969.1/151278.

MLA Handbook (7th Edition):

Almohammadi, Hisham. “Continuous Model Updating and Forecasting for a Naturally Fractured Reservoir.” 2013. Web. 28 Sep 2020.

Vancouver:

Almohammadi H. Continuous Model Updating and Forecasting for a Naturally Fractured Reservoir. [Internet] [Masters thesis]. Texas A&M University; 2013. [cited 2020 Sep 28]. Available from: http://hdl.handle.net/1969.1/151278.

Council of Science Editors:

Almohammadi H. Continuous Model Updating and Forecasting for a Naturally Fractured Reservoir. [Masters Thesis]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/151278

23. Liu, Chang. Continuous reservoir simulation model updating and forecasting using a markov chain monte carlo method.

Degree: MS, Petroleum Engineering, 2009, Texas A&M University

 Currently, effective reservoir management systems play a very important part in exploiting reservoirs. Fully exploiting all the possible events for a petroleum reservoir is a… (more)

Subjects/Keywords: MCMC

Page 1 Page 2 Page 3 Page 4 Page 5

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APA (6th Edition):

Liu, C. (2009). Continuous reservoir simulation model updating and forecasting using a markov chain monte carlo method. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2360

Chicago Manual of Style (16th Edition):

Liu, Chang. “Continuous reservoir simulation model updating and forecasting using a markov chain monte carlo method.” 2009. Masters Thesis, Texas A&M University. Accessed September 28, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2360.

MLA Handbook (7th Edition):

Liu, Chang. “Continuous reservoir simulation model updating and forecasting using a markov chain monte carlo method.” 2009. Web. 28 Sep 2020.

Vancouver:

Liu C. Continuous reservoir simulation model updating and forecasting using a markov chain monte carlo method. [Internet] [Masters thesis]. Texas A&M University; 2009. [cited 2020 Sep 28]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2360.

Council of Science Editors:

Liu C. Continuous reservoir simulation model updating and forecasting using a markov chain monte carlo method. [Masters Thesis]. Texas A&M University; 2009. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2360

24. Fariyibi, Festus Lekan. Application of price uncertainty quantification models and their impacts on project evaluations.

Degree: MS, Petroleum Engineering, 2006, Texas A&M University

 This study presents an analysis of several recently published methods for quantifying the uncertainty in economic evaluations due to uncertainty in future oil prices. Conventional… (more)

Subjects/Keywords: Uncertainty; oil prices; Project evaluations; forecasts

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APA (6th Edition):

Fariyibi, F. L. (2006). Application of price uncertainty quantification models and their impacts on project evaluations. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/4224

Chicago Manual of Style (16th Edition):

Fariyibi, Festus Lekan. “Application of price uncertainty quantification models and their impacts on project evaluations.” 2006. Masters Thesis, Texas A&M University. Accessed September 28, 2020. http://hdl.handle.net/1969.1/4224.

MLA Handbook (7th Edition):

Fariyibi, Festus Lekan. “Application of price uncertainty quantification models and their impacts on project evaluations.” 2006. Web. 28 Sep 2020.

Vancouver:

Fariyibi FL. Application of price uncertainty quantification models and their impacts on project evaluations. [Internet] [Masters thesis]. Texas A&M University; 2006. [cited 2020 Sep 28]. Available from: http://hdl.handle.net/1969.1/4224.

Council of Science Editors:

Fariyibi FL. Application of price uncertainty quantification models and their impacts on project evaluations. [Masters Thesis]. Texas A&M University; 2006. Available from: http://hdl.handle.net/1969.1/4224

25. Cheng, Kun. Evaluation and Prediction of Unconventional Gas Resources in Underexplored Basins Worldwide.

Degree: PhD, Petroleum Engineering, 2012, Texas A&M University

 As gas production from conventional gas reservoirs in the United States decreases, industry is turning more attention to the exploration and development of unconventional gas… (more)

Subjects/Keywords: Unconventional Gas Resources; Formation Analog Selection Tool; Basin Analog Investigations; Underexplored Basins; Resource Triangle Concept; Technically Recoverable Resources

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APA (6th Edition):

Cheng, K. (2012). Evaluation and Prediction of Unconventional Gas Resources in Underexplored Basins Worldwide. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-9716

Chicago Manual of Style (16th Edition):

Cheng, Kun. “Evaluation and Prediction of Unconventional Gas Resources in Underexplored Basins Worldwide.” 2012. Doctoral Dissertation, Texas A&M University. Accessed September 28, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-9716.

MLA Handbook (7th Edition):

Cheng, Kun. “Evaluation and Prediction of Unconventional Gas Resources in Underexplored Basins Worldwide.” 2012. Web. 28 Sep 2020.

Vancouver:

Cheng K. Evaluation and Prediction of Unconventional Gas Resources in Underexplored Basins Worldwide. [Internet] [Doctoral dissertation]. Texas A&M University; 2012. [cited 2020 Sep 28]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-9716.

Council of Science Editors:

Cheng K. Evaluation and Prediction of Unconventional Gas Resources in Underexplored Basins Worldwide. [Doctoral Dissertation]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-9716

26. Holmes, Jay Cuthbert. Continuous reservoir simulation incorporating uncertainty quantification and real-time data.

Degree: MS, Petroleum Engineering, 2009, Texas A&M University

 A significant body of work has demonstrated both the promise and difficulty of quantifying uncertainty in reservoir simulation forecasts. It is generally accepted that accurate… (more)

Subjects/Keywords: RESERVOIR SIMULATION; UNCERTAINTY QUANTIFICATION; RESERVOIR MANAGEMENT

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APA (6th Edition):

Holmes, J. C. (2009). Continuous reservoir simulation incorporating uncertainty quantification and real-time data. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-1179

Chicago Manual of Style (16th Edition):

Holmes, Jay Cuthbert. “Continuous reservoir simulation incorporating uncertainty quantification and real-time data.” 2009. Masters Thesis, Texas A&M University. Accessed September 28, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-1179.

MLA Handbook (7th Edition):

Holmes, Jay Cuthbert. “Continuous reservoir simulation incorporating uncertainty quantification and real-time data.” 2009. Web. 28 Sep 2020.

Vancouver:

Holmes JC. Continuous reservoir simulation incorporating uncertainty quantification and real-time data. [Internet] [Masters thesis]. Texas A&M University; 2009. [cited 2020 Sep 28]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1179.

Council of Science Editors:

Holmes JC. Continuous reservoir simulation incorporating uncertainty quantification and real-time data. [Masters Thesis]. Texas A&M University; 2009. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1179

27. Wei, Yunan. AN ADVISORY SYSTEM FOR THE DEVELOPMENT OF UNCONVENTIONAL GAS RESERVOIRS.

Degree: PhD, Petroleum Engineering, 2010, Texas A&M University

 With the rapidly increasing demand for energy and the increasing prices for oil and gas, the role of unconventional gas reservoirs (UGRs) as energy sources… (more)

Subjects/Keywords: Advisory System; Unconventional Gas Reservoirs; Hydraulic Fracturing; Tight Gas Sand; TGS Advisor; Completion.

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APA (6th Edition):

Wei, Y. (2010). AN ADVISORY SYSTEM FOR THE DEVELOPMENT OF UNCONVENTIONAL GAS RESERVOIRS. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-278

Chicago Manual of Style (16th Edition):

Wei, Yunan. “AN ADVISORY SYSTEM FOR THE DEVELOPMENT OF UNCONVENTIONAL GAS RESERVOIRS.” 2010. Doctoral Dissertation, Texas A&M University. Accessed September 28, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-278.

MLA Handbook (7th Edition):

Wei, Yunan. “AN ADVISORY SYSTEM FOR THE DEVELOPMENT OF UNCONVENTIONAL GAS RESERVOIRS.” 2010. Web. 28 Sep 2020.

Vancouver:

Wei Y. AN ADVISORY SYSTEM FOR THE DEVELOPMENT OF UNCONVENTIONAL GAS RESERVOIRS. [Internet] [Doctoral dissertation]. Texas A&M University; 2010. [cited 2020 Sep 28]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-278.

Council of Science Editors:

Wei Y. AN ADVISORY SYSTEM FOR THE DEVELOPMENT OF UNCONVENTIONAL GAS RESERVOIRS. [Doctoral Dissertation]. Texas A&M University; 2010. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-278

28. Zhang, Guohong. Estimating uncertainties in integrated reservoir studies.

Degree: PhD, Petroleum Engineering, 2004, Texas A&M University

 To make sound investment decisions, decision makers need accurate estimates of the uncertainties present in forecasts of reservoir performance. In this work I propose a… (more)

Subjects/Keywords: uncertainty analysis

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APA (6th Edition):

Zhang, G. (2004). Estimating uncertainties in integrated reservoir studies. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/204

Chicago Manual of Style (16th Edition):

Zhang, Guohong. “Estimating uncertainties in integrated reservoir studies.” 2004. Doctoral Dissertation, Texas A&M University. Accessed September 28, 2020. http://hdl.handle.net/1969.1/204.

MLA Handbook (7th Edition):

Zhang, Guohong. “Estimating uncertainties in integrated reservoir studies.” 2004. Web. 28 Sep 2020.

Vancouver:

Zhang G. Estimating uncertainties in integrated reservoir studies. [Internet] [Doctoral dissertation]. Texas A&M University; 2004. [cited 2020 Sep 28]. Available from: http://hdl.handle.net/1969.1/204.

Council of Science Editors:

Zhang G. Estimating uncertainties in integrated reservoir studies. [Doctoral Dissertation]. Texas A&M University; 2004. Available from: http://hdl.handle.net/1969.1/204

29. Ramazanova, Rahila. Sequence stratigraphic interpretation methods for low-accommodation, alluvial depositional sequences: applications to reservoir characterization of Cut Bank field, Montana.

Degree: PhD, Geology, 2009, Texas A&M University

 In South Central Cut Bank Sand Unit (SCCBSU) of Cut Bank field, primary production and waterflood projects have resulted in recovery of only 29 %… (more)

Subjects/Keywords: sequence stratigraphy; mature oil field; Cut Bank field; stochastic modeling; facies simulation; reservoir property; low-accommodation systems; alluvial systems; alluvial depositional setting; reservoir characterization; facies distribution/connectivity; lithofacies; geostatistical model; vertical proportion curve

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APA (6th Edition):

Ramazanova, R. (2009). Sequence stratigraphic interpretation methods for low-accommodation, alluvial depositional sequences: applications to reservoir characterization of Cut Bank field, Montana. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-1127

Chicago Manual of Style (16th Edition):

Ramazanova, Rahila. “Sequence stratigraphic interpretation methods for low-accommodation, alluvial depositional sequences: applications to reservoir characterization of Cut Bank field, Montana.” 2009. Doctoral Dissertation, Texas A&M University. Accessed September 28, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-1127.

MLA Handbook (7th Edition):

Ramazanova, Rahila. “Sequence stratigraphic interpretation methods for low-accommodation, alluvial depositional sequences: applications to reservoir characterization of Cut Bank field, Montana.” 2009. Web. 28 Sep 2020.

Vancouver:

Ramazanova R. Sequence stratigraphic interpretation methods for low-accommodation, alluvial depositional sequences: applications to reservoir characterization of Cut Bank field, Montana. [Internet] [Doctoral dissertation]. Texas A&M University; 2009. [cited 2020 Sep 28]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1127.

Council of Science Editors:

Ramazanova R. Sequence stratigraphic interpretation methods for low-accommodation, alluvial depositional sequences: applications to reservoir characterization of Cut Bank field, Montana. [Doctoral Dissertation]. Texas A&M University; 2009. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1127


Texas A&M University

30. Salazar Vanegas, Jesus. Development of an improved methodology to assess potential unconventional gas resources in North America.

Degree: MS, Petroleum Engineering, 2007, Texas A&M University

 Since the 1970s, various private and governmental agencies have conducted studies to assess potential unconventional gas resources, particularly those resources contained in tight sands, fractured… (more)

Subjects/Keywords: Unconventional Gas; Unconventional Resource Assessment

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APA (6th Edition):

Salazar Vanegas, J. (2007). Development of an improved methodology to assess potential unconventional gas resources in North America. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/5894

Chicago Manual of Style (16th Edition):

Salazar Vanegas, Jesus. “Development of an improved methodology to assess potential unconventional gas resources in North America.” 2007. Masters Thesis, Texas A&M University. Accessed September 28, 2020. http://hdl.handle.net/1969.1/5894.

MLA Handbook (7th Edition):

Salazar Vanegas, Jesus. “Development of an improved methodology to assess potential unconventional gas resources in North America.” 2007. Web. 28 Sep 2020.

Vancouver:

Salazar Vanegas J. Development of an improved methodology to assess potential unconventional gas resources in North America. [Internet] [Masters thesis]. Texas A&M University; 2007. [cited 2020 Sep 28]. Available from: http://hdl.handle.net/1969.1/5894.

Council of Science Editors:

Salazar Vanegas J. Development of an improved methodology to assess potential unconventional gas resources in North America. [Masters Thesis]. Texas A&M University; 2007. Available from: http://hdl.handle.net/1969.1/5894

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