TY - JOUR
T1 - Geomechanical modeling for InSAR-derived surface deformation at steam-injection oil sand fields
AU - Khakim, M. Yusup Nur
AU - Tsuji, Takeshi
AU - Matsuoka, Toshifumi
N1 - Funding Information:
We thank the Science and Technology Research Partnership for Sustainable Development (SATREPS) , a collaboration between the Japan Science and Technology Agency (JST) and the Japan International Cooperation Agency (JICA), for financial support and the Earth Remote Sensing Data Analysis Center (ERSDAC) for providing ALOS PALSAR data. The Japan Ministry of Economy, Trade and Industry (METI) and the Japan Aerospace Exploration Agency (JAXA) are owners of the ALOS PALSAR original data. The PALSAR Level-1.0 products were produced by ERSDAC. The first author thanks the Indonesia Ministry of National Education for financial support during his study at Kyoto University and thanks K. Ishitsuka of Kyoto University for discussions of inversion. T. Tsuji gratefully acknowledges the support of the International Institute for Carbon Neutral Energy Research (WPI-I2CNER), sponsored by the World Premier International Research Center Initiative (WPI), MEXT, Japan.
Copyright:
Copyright 2013 Elsevier B.V., All rights reserved.
PY - 2012/10
Y1 - 2012/10
N2 - To estimate the distribution of reservoir deformation and reservoir volume change in an oil sand reservoir undergoing steam injection, we applied geomechanical inversion to surface uplift data derived from a differential interferometric synthetic-aperture radar (InSAR) stacking technique. We tested a two-step inversion method based on a tensional rectangular dislocation model. The first step of the inversion used genetic algorithms to estimate the depth of the reservoir and roughly model its deformation. The estimated depth of the reservoir was consistent with the depth of the injection point. The second step used a least-squares inversion with a penalty function and smoothing factor to efficiently invert the distribution of reservoir deformation and volume change from the surface uplift data. The distribution of reservoir deformation can be accurately estimated from InSAR-derived ground surface deformations using our proposed inversion techniques.
AB - To estimate the distribution of reservoir deformation and reservoir volume change in an oil sand reservoir undergoing steam injection, we applied geomechanical inversion to surface uplift data derived from a differential interferometric synthetic-aperture radar (InSAR) stacking technique. We tested a two-step inversion method based on a tensional rectangular dislocation model. The first step of the inversion used genetic algorithms to estimate the depth of the reservoir and roughly model its deformation. The estimated depth of the reservoir was consistent with the depth of the injection point. The second step used a least-squares inversion with a penalty function and smoothing factor to efficiently invert the distribution of reservoir deformation and volume change from the surface uplift data. The distribution of reservoir deformation can be accurately estimated from InSAR-derived ground surface deformations using our proposed inversion techniques.
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U2 - 10.1016/j.petrol.2012.08.003
DO - 10.1016/j.petrol.2012.08.003
M3 - Article
AN - SCOPUS:84868701425
SN - 0920-4105
VL - 96-97
SP - 152
EP - 161
JO - Journal of Petroleum Science and Engineering
JF - Journal of Petroleum Science and Engineering
ER -