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    Decline curve analysis and enhanced shale oil recovery based on Eagle Ford Shale data

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    Author
    Delaihdem, Dieudonne K.
    Chair
    Dandekar, Abhijit
    Committee
    Ahmadi, Mohabbat
    Hanks, Catherine
    Metadata
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    URI
    http://hdl.handle.net/11122/4465
    Abstract
    Transient and fracture dominated flow regimes in tight permeability shale reservoirs with hydraulically fractured horizontal wells impose many unconventional challenges. These include execution of appropriate shale decline curve analysis and the optimization of hydrocarbons recovery. Additionally, short production profiles available are inadequate for accurate production decline analysis. This research assessed the effectiveness of Arps' decline curve analysis and recently established methods--power law exponential analysis, logistic growth analysis, Duong's method and the author's approach--to predict future production of horizontal wells in the Eagle Ford Shale. Simulation models investigated history matching, enhanced shale oil recovery, and drainage area beyond stimulated reservoir volume. Traditional Arps' hyperbolic method sufficiently analyzed past production rates, but inaccurately forecasted cumulative productions. The recent decline models show slight variations in their past performance evaluations and forecasting future production trends. The technique proposed and used in this work enhanced the successful application of Arps' hyperbolic decline from 32.5% to 80%. Simulation results indicate 4.0% primary oil recovery factor and 5.8% enhanced shale oil recovery factor using CO��� miscible injection. Based on pressure observed outside of the stimulated reservoir volume, limited to the range of data used in this study, drainage area outside stimulated reservoir volume is not significant.
    Description
    Thesis (M.S.) University of Alaska Fairbanks, 2013
    Table of Contents
    Chapter 1. Introduction -- 1.1. Shale oil reservoirs -- 1.2. Shale oil: What is it? -- 1.3. Shale play developmnet -- 1.4. Purpose and scope of study -- Chapter 2. Literature review -- 2.0. Introduction -- 2.1. Geology -- 2.2. Decline curve analysis -- 2.2.1. Arps decline curve analysis -- 2.2.2. Power law exponential analysis -- 2.2.3. Logistic growth analysis -- 2.2.4. Duong's method -- Analyses of the Eagle Ford Shale -- 2.3.1. Reservoir fluids -- 2.3.2. Natural fractures -- 2.3.3. Reservoir stimulation and wellbore completions -- 2.3.4. Simulation -- 2.4. Improving shale oil recovery by CO��� injection and CO��� as frac fluid -- Chapter 3. Eagle Ford production history assessment using various decline curve analysis techniques -- 3.0. Introduction -- 3.1. Methods -- 3.1.1. Data preparation before the analysis -- 3.1.2. Arps' decline models applications -- 3.1.3. Power law exponential (PLE) analysis application -- 3.1.4. Logistic growth analysis (LGA) application -- 3.1.5. Duong's decline curve analysis method -- 3.1.6. Logistic arps' hyperbolic approach (LAHA) -- 3.2. General results -- 3.2.1. Data preparation before the analysis -- 3.2.2. Arps' decline curve analysis -- 3.2.3. Power law exponential analysis (PLE) -- 3.2.4. Logistic growth analysis (LGA) -- 3.2.5. Duong's decline curve analysis method -- 3.2.6. Logistic arps hyperbolic approach (LAHA) -- 3.3. Discussion of general results -- Chapter 4. Eagle Ford shale oil production decline analysis specific results -- 4.0. Introduction -- 4.1. Burleson County -- 4.1.1. Introduction -- 4.1.2. Specific results of shale oil production decline analysis in Burleson County -- 4.2. Leon County -- 4.2.1. Introduction -- 4.2.2. Specific results of shale oil production decline analysis in Leon County -- 4.3. Brazos County -- 4.3.1. Introduction -- 4.3.2. Specific results of shale oil production decline analysis in Brazos County -- 4.4. Lee County -- 4.4.1. Introduction -- 4.4.2. Specific results of shale oil production decline analysis in Lee County -- 4.5. Gonzales County -- 4.5.1. Introduction -- 4.5.2. Specific results of shale oil production decline analysis in Gonzales County -- 4.6. Karnes County -- 4.6.1. Introduction -- 4.6.2. Specific results of shale oil production decline analysis in Karnes County -- 4.7. Dimmit County -- 4.7.1. Introduction -- 4.7.2. Specific results of shale oil production decline analysis in Dimmit County -- 4.8. Zavala County -- 4.8.1. Introduction -- 4.8.2. Specific results of shale oil production decline analysis in Zavala County -- 4.9. Chapter summary -- Chapter 5. Shale oil reservoir simulations -- 5.0. Introduction -- 5.1. Methods: production decline and future performance simulations -- 5.1.1. Building the reservoir simulation models -- 5.1.2. The reservoir simulation initialization outputs -- 5.2. Results: production decline and future performance simulation -- 5.3. Methods: enhanced shale oil recovery simulation -- 5.3.1. Results: enhanced shale oil recovery simulation -- 5.4. Pressure profiles across lease boundaries -- 5.4.1. Methods -- 5.4.2. Results: pressure profiles across lease boundaries -- Chapter 6: Discussion -- 6.1. Decline curve analysis of the Eagle Ford shale oil production -- 6.2. Production decline and forecast, ESOR and pressure profiles simulation -- 6.2.1. Production decline and forecast simulation -- 6.2.2. Enhanced shale oil recovery (ESOR) simulation -- 6.2.3. Pressure profile simulation -- Chapter 7. Conclusions and recommendations -- 7.1. Conclusions -- 7.2. Recommendations -- References -- Nomenclature -- Appendix.
    Date
    2013-12
    Type
    Thesis
    Collections
    Engineering

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