Advanced Techniques in Oil Field Reservoir Simulation and Data Analysis
This document outlines key methodologies in oil field modeling and reservoir simulation. It covers the background and fundamental concepts such as porosity, permeability, Darcy's Law, and saturation metrics crucial for accurately assessing reservoir dynamics. The content includes practical examples and projects highlighting the process of modeling oil and gas reservoirs through integration of fluid, rock, and well data. Emphasis is placed on real-world applications and the significance of geologic modeling for predicting production rates and optimizing well placements in petroleum extraction.
Advanced Techniques in Oil Field Reservoir Simulation and Data Analysis
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Presentation Transcript
Data Mining &Oil-Field Modeling Y.Chang
Outline • Background • Reservoir Simulation Modeling • Examples and Projects
Geology www.lonestarsecurities.com
Oil and Gas Reservoir www.geoscape.nrcan.gc.ca
Porosity • Porosity = pore-volume / bulk-volume • a measure of the void spaces in a material www.geo.vu.nl www.borntoexplore.org
Porosity Distribution www.geus.dk www.kgs.ku.edu
Darcy’s Law • Darcy’s Law • describes the flow of a fluid through a porous medium • Permeability • a measure of the ability of a material (such as rocks) to transmit fluids www.en.wikipedia.org/wiki/Darcy_law
Phase Diagram www.dreamstime.com www.imcampbell.com
Saturation • A measure of the fluid spaces in pores, e.g., Oil saturation = oil-volume / pore-volume www.ukooa.co.uk www.statoilhydro.com
Petroleum Reservoir Modeling www.halliburton.com
Reservoir Modeling Process Fluid Data Rock Data Well Data: Core, Logs Upscalling Geologic Model Simulation Model Seismic Data + Well Data Oil/Gas/Water Production www.beicip-inc.com
Logs + Core Data Mohaghegh, 2000, SPE 58046
Logs + Seismic Data Amplitude Neutron porosity: Well 1 and 2 Mohaghegh, 2005, SPE 98012
Permeability Model size: 24 x 25 x 15 Wells: 25 prodjcers 1 water injector
Oil Saturation (2 years) Initial So
Gas Saturaton (2 years) Initial Sg
Other History Match Examples Production Data Well PH-01 Results Da Silva, et al. , 2007, SPE 107371
Project 1: Estimate Field Oil Production Rate • Data: oil rates vs. time • 0 – 300 days: all wells at maximum rates • 300 – 360 days: all wells at reduced rates of 100 b/d • 360 – 3653 days: all wells at maximum rates • Task: • Use 3-year data (0 to 1,096 days), estimate field production rates to 10 years. ?
In-fill Well? So>0.65, 6-year Sg<0.15, 6-year
Project 2: In-fill Well Location • Data • Pore-volume map • Oil saturation map at the 6th year • Well locations • Oil Volume = Pore-Volume x Oil-Saturation • Task • Find a new well (I,j,k) location that can give highest initial oil production rate
Well Locations * * WATER INJECTION WELL * I J K WELL 1 24 25 11 24 25 12 24 25 13 24 25 14 24 25 15 * * ALL PRODUCTION WELLS WELL 2 5 1 2 5 1 3 5 1 4 …
Oil Saturation Maps OIL SATURATION DISTRIBUTION TIME: 2192.0000 DAYS OR 6.0000 YEARS -- TIME STEP NO.: 50 J = 1 I = 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 K 1 0.5301 0.5387 0.5449 0.5459 0.5481 0.5527 0.5558 0.5629 0.6237 0.5819 0.5102 0.4969 0.4916 0.4881 0.4872 2 0.5635 0.6142 0.6426 0.6475 0.5895P 0.6109 0.6306 0.6201 0.7076 0.6832 0.5459 0.5200 0.4916 0.4807 0.4772 3 0.5455 0.6175 0.6406 0.6571 0.6615P 0.6904 0.6898 0.6946 0.7029 0.6422 0.5410 0.5049 0.4812 0.4785 0.4741 4 0.6147 0.6652 0.6843 0.6839 0.6862P 0.6972 0.6877 0.6950 0.6931 0.6810 0.6589 0.5901 0.5344 0.5250 0.5125 5 0.6023 0.6555 0.6681 0.6726 0.6804 0.6859 0.6778 0.6705 0.6698 0.6590 0.6435 0.5711 0.5247 0.5215 0.5221 ……. J = 1 I = 1 2 3 4 5 K 1 0.5301 0.5387 0.5449 0.5459 0.5481 2 0.5635 0.6142 0.6426 0.6475 0.5895P 3 0.5455 0.6175 0.6406 0.6571 0.6615P 4 0.6147 0.6652 0.6843 0.6839 0.6862P 5 0.6023 0.6555 0.6681 0.6726 0.6804 …….
