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You searched for +publisher:"Penn State University" +contributor:("Russell Taylor Johns, Thesis Advisor"). Showing records 1 – 2 of 2 total matches.

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Penn State University

1. Ahn, Eunnam. MULTI-WELL ANALYTICAL SOLUTION FOR CONING UNDER SIMULTANEOUS STEADY-STATE FLOW OF THREE PHASES.

Degree: 2018, Penn State University

A large amount of unwanted water and gas production from upward or downward coning can significantly erode profits in oil recovery processes. Simulation estimates of the magnitude and timing of coning can be erroneous owing to unknown reservoir heterogeneity, large grid blocks near the wells, and inaccuracies in simulation well models, such as that from Peaceman. This may lead to a failure to accurately calculate the critical oil rate in a given case. Thus, a good understanding of coning behavior is required for an effective water and gas control. An improved analytical water and gas control solution helps facilitate the computation of the critical rate and avoidance of unwanted water and gas. The solution may lead to a significant reduction in operating cost during oil production.This thesis presents a multi-well steady-state analytical solution for coning of three phases (water, oil, and gas) flowing simultaneously. The solution for multiple wells is developed using the principle of superposition with a potential function that includes capillary pressure and relative permeability. The assumption of vertical equilibrium (VE) is made, which gives maximum vertical crossflow and therefore the largest possible coning. Any model for relative permeability and capillary pressure can be used, although we used Stone 2 for relative permeability and Brooks-Corey for capillary pressure. We give dimensionless inflow performance windows (IPW) to show the allowable physical window of three-phase rates and the maximum oil rate as a function of the water and the total well flow rate. The new potential functions are also used to demonstrate superposition for several well patterns with no-flow boundaries. Besides estimating critical oil rates, the solution could be important to benchmark numerical solutions and improve the accuracy of Peacemans well model. Advisors/Committee Members: Russell Taylor Johns, Thesis Advisor.

Subjects/Keywords: analytical solution; coning; vertical equilibrium; steady-state; multi-well; three-phase flow

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ahn, E. (2018). MULTI-WELL ANALYTICAL SOLUTION FOR CONING UNDER SIMULTANEOUS STEADY-STATE FLOW OF THREE PHASES. (Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/14892exa5166

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ahn, Eunnam. “MULTI-WELL ANALYTICAL SOLUTION FOR CONING UNDER SIMULTANEOUS STEADY-STATE FLOW OF THREE PHASES.” 2018. Thesis, Penn State University. Accessed October 20, 2019. https://etda.libraries.psu.edu/catalog/14892exa5166.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ahn, Eunnam. “MULTI-WELL ANALYTICAL SOLUTION FOR CONING UNDER SIMULTANEOUS STEADY-STATE FLOW OF THREE PHASES.” 2018. Web. 20 Oct 2019.

Vancouver:

Ahn E. MULTI-WELL ANALYTICAL SOLUTION FOR CONING UNDER SIMULTANEOUS STEADY-STATE FLOW OF THREE PHASES. [Internet] [Thesis]. Penn State University; 2018. [cited 2019 Oct 20]. Available from: https://etda.libraries.psu.edu/catalog/14892exa5166.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ahn E. MULTI-WELL ANALYTICAL SOLUTION FOR CONING UNDER SIMULTANEOUS STEADY-STATE FLOW OF THREE PHASES. [Thesis]. Penn State University; 2018. Available from: https://etda.libraries.psu.edu/catalog/14892exa5166

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

2. Galimberti, Evan. INVESTIGATION OF DISPERSION AND ITS EFFECT ON THE SURFACTANT-POLYMER FLOODING PROCESS.

Degree: 2018, Penn State University

Surfactant-polymer (SP) flooding holds significant promise for enhanced oil recovery, but the procedure for determining the best choice of chemical slug sizes does not consider reservoir mixing. Reservoir mixing at pattern scale can affect optimal slug sizes, but to date there is a lack of understanding of its impact. This thesis examines the impacts of mixing on SP flooding, and to show how grid-block sizes can be optimized through characterizing dispersion. Through these contributions SP flooding can become closer to becoming an economically viable production technique in the field. In this thesis, design selection relies on showing incremental efficiency (STB oil/chemical mass) as a function of both SP slug and polymer buffer sizes. Thousands of UTCHEM simulations give tertiary recovery results across a range of tested designs and key input parameters. Important dimensionless groups are tested for their effects, as well as optimum salinity. Permeability upscaling into effective grid-blocks isolates the dispersion contribution from heterogeneity, and extrapolation to a block size of zero gives an estimate of physical mixing in the reservoir by matching concentration histories to the convection dispersion equation. Grid selection allows the largest block size to represent physical mixing. Optimized grid selection is shown to decrease computational time and uncertainty in project design. Economic analysis multiplies oil and chemical costs by the incremental efficiency and is optimized for profitability. Mixing is shown to affect the strength and sweep of the SP slug, polymer buffer and salinity slug in the reservoir. Similar to miscible gas floodings minimum miscibility pressure and enrichment, surfactants critical micelle concentration (CMC) and concentration are greatly impacted, specifically when injection conditions are close to the CMC and optimum salinity. Unlike gas flooding, the effects of mixing on recovery depend on mixing of several components injected in different slugs and key reservoir parameters. Dependent on the process design, mixing can be beneficial or detrimental to efficiency; beneficial when increased sweep effects dominate, and detrimental when concentration effects dominate. The design of maximum process efficiency is described while varying key values, including heterogeneity and an effective chemical cost ratio on a per mass basis. Economic analysis indicates a larger slug design than incremental analysis. An increasing trend is found between each components endpoint mobility ratio and measured dispersivity. A new parameter is defined in the fluid dispersivity factor, which characterizes the nature of each injected components impact to mixing, where the dispersivity of the component is divided by the dispersivity of a single-phase tracer. Favorable mobility ratios decrease mixing with a fluid dispersivity factor below unity, while adverse mobility ratios associated with components such as surfactant and gas in miscible gas flooding, increase the effective mixing with a dispersivity factor… Advisors/Committee Members: Russell Taylor Johns, Thesis Advisor.

Subjects/Keywords: Dispersion; Surfactant-polymer; Upscaling; Enhanced Oil Recovery; Incremental Efficiency

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Galimberti, E. (2018). INVESTIGATION OF DISPERSION AND ITS EFFECT ON THE SURFACTANT-POLYMER FLOODING PROCESS. (Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/15214eog5163

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Galimberti, Evan. “INVESTIGATION OF DISPERSION AND ITS EFFECT ON THE SURFACTANT-POLYMER FLOODING PROCESS.” 2018. Thesis, Penn State University. Accessed October 20, 2019. https://etda.libraries.psu.edu/catalog/15214eog5163.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Galimberti, Evan. “INVESTIGATION OF DISPERSION AND ITS EFFECT ON THE SURFACTANT-POLYMER FLOODING PROCESS.” 2018. Web. 20 Oct 2019.

Vancouver:

Galimberti E. INVESTIGATION OF DISPERSION AND ITS EFFECT ON THE SURFACTANT-POLYMER FLOODING PROCESS. [Internet] [Thesis]. Penn State University; 2018. [cited 2019 Oct 20]. Available from: https://etda.libraries.psu.edu/catalog/15214eog5163.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Galimberti E. INVESTIGATION OF DISPERSION AND ITS EFFECT ON THE SURFACTANT-POLYMER FLOODING PROCESS. [Thesis]. Penn State University; 2018. Available from: https://etda.libraries.psu.edu/catalog/15214eog5163

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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