predicting elastic rock property changes in a CO2 enhanced oil recovery reservoir using sonic log
Predicting Elastic Rock Property Changes in A CO2 Enhanced Oil
Recovery Reservoir Using Sonic Log Data
Master of Science Thesis Proposal
By
Sen Guan
11/16/2011
TABLE OF CONTENTS
CHAPTER 1
INTRODUCTION .................................................................................................1
1.1 Motivation ..............................................................................................................................1
1.2 Delhi Field, Louisiana ...........................................................................................................2
CHAPTER 2
LITERATURE REVIEW .....................................................................................4
2.1 CO2 EOR in Production .......................................................................................................5
2.2 Geomechanical Related Risk Factors ...................................................................................5
2.2.1 Fault Reactivation ............................................................................................................6
2.2.2 Induced Shear Failure ......................................................................................................6
2.2.3 Borehole Instability .........................................................................................................6
2.2.4 Casing Deformation and Failure ......................................................................................7
CHAPTER 3 POPULATE SONIC LOG BASED ON NEURAL NETWORK .............................8
3.1 Set up relationship between sonic log and triple combo .......................................................8
3.2 Run the neural network based on bulk density, neutron porosity, shale volume ................17
CHAPTER 4 MECHANICAL EARTH MODEL .........................................................................20
4.1 1D Mechanical Earth Model (MEM)
Recovery Reservoir Using Sonic Log Data
Master of Science Thesis Proposal
By
Sen Guan
11/16/2011
TABLE OF CONTENTS
CHAPTER 1
INTRODUCTION .................................................................................................1
1.1 Motivation ..............................................................................................................................1
1.2 Delhi Field, Louisiana ...........................................................................................................2
CHAPTER 2
LITERATURE REVIEW .....................................................................................4
2.1 CO2 EOR in Production .......................................................................................................5
2.2 Geomechanical Related Risk Factors ...................................................................................5
2.2.1 Fault Reactivation ............................................................................................................6
2.2.2 Induced Shear Failure ......................................................................................................6
2.2.3 Borehole Instability .........................................................................................................6
2.2.4 Casing Deformation and Failure ......................................................................................7
CHAPTER 3 POPULATE SONIC LOG BASED ON NEURAL NETWORK .............................8
3.1 Set up relationship between sonic log and triple combo .......................................................8
3.2 Run the neural network based on bulk density, neutron porosity, shale volume ................17
CHAPTER 4 MECHANICAL EARTH MODEL .........................................................................20
4.1 1D Mechanical Earth Model (MEM)
References: 1. Bérard T., Jammes L., Lecampion B. CO2 Storage Geomechanics for Performance and Risk Management, SPE 108528, 2007. 2. Bahrami H., Jamal Siavoshi, Husky Energy Canada, et al. Characterization of Fracture Dynamic Parameters to Simulate Naturally Fractured Reservoirs, IPTC 11971, 2008. 3. Bagheri B.G., Fracture Characterizing and Modeling of a Porous Fractured Carbonate Reservoir Rouhollah Dashti, SPE 125329, 2009. 5. Khan, H. Han, S. Ansari, N. Khosravi. An Integrated Geomechanics Workflow for CaprockIntegrity Analysis of a Potential Carbon Storage, SPE 139477, 2010. Gulf Rocks Proceedings, ARMA/NARMS 04-579, Houston, Texas, 2004. 7. Silbernagel M.M. Modeling Coupled Fluid Flow And Geomechanical and Geophysical Phenomena Within a Finite Element Framework, thesis, 2007. 8. Xue Z. and Kim J.. Detecting and Monitoring CO2 With P-Wave Velocity and Resistivity From Both Laboratory and Field Scales, SPE 126885, 2009. Mineralogical and Petrophysical Data, SPE Formation Evaluation, V. 1 No. 6, 584-594, 1986. Symposium, 16-18 April 2007, Denver, Colorado, 2007.