Model-uncertainty quantification in seismic tomography: method and applications

作者: Konstantin Osypov , Yi Yang , Aimé Fournier , Natalia Ivanova , Ran Bachrach

DOI: 10.1111/1365-2478.12058

关键词:

摘要: Uncertainty is inherent in every stage of the oil and gas exploration production (E&P) business understanding uncertainty enables mitigation E&P risks. Therefore, quantification beneficial for decision making should be managed along with other aspects business. For example, decisions on well positioning take into account structural related to non-uniqueness a velocity model used create seismic depth image. Moreover, recent advances acquisition technology, such as full-azimuth, long-offset techniques, combined high-accuracy migration algorithms reverse-time migration, can greatly enhance images even highly complex settings, provided that an Earth sufficient resolution available. Modern practices often use non-seismic observation better constrain building. However, additional information, there still ambiguity our models caused by experiment. Many different Earth exist match observed (and well) data and this grows rapidly away from controls. The result true positions events images. Tracking these uncertainties lead significant improvement risk (e.g., trap failure when well-logging are not representative), drilling dry wells abnormal pore pressure) volumetric uncertainties. Whilst underlying never fully eradicated, quantified measure provides valuable tool evaluating risks development risk-mitigation plans decision-making strategies

参考文章(70)
David N. Whitcombe, Randall J. Carroll, The application of map migration to 2-D migrated data Geophysics. ,vol. 59, pp. 1121- 1132 ,(1994) , 10.1190/1.1443668
K Osypov, D Nichols, M Woodward, CE Yarman, None, Tomographic Velocity Model Building Using Iterative Eigendecomposition 70th EAGE Conference and Exhibition incorporating SPE EUROPEC 2008. ,(2008) , 10.3997/2214-4609.20147940
Andrej Nikolaevich Tikhonov, Vasiliy Yakovlevich Arsenin, Solutions of ill-posed problems ,(1977)
Guust Nolet, Raffaella Montelli, Jean Virieux, Explicit, approximate expressions for the resolution and a posteriori covariance of massive tomographic systems Geophysical Journal International. ,vol. 138, pp. 36- 44 ,(1999) , 10.1046/J.1365-246X.1999.00858.X
H. Grubb, A. Tura, C. Hanitzsch, Estimating and interpreting velocity uncertainty in migrated images and AVO attributes Geophysics. ,vol. 66, pp. 1208- 1216 ,(2001) , 10.1190/1.1487067
P. M. Doyen, A. Malinverno, R. Prioul, P. Hooyman, S. Noeth, L. den Boer, D. Psaila, C. M. Sayers, T. J. H. Smit, C. van Eden, R. Wervelman, Seismic pore pressure prediction with uncertainty using a probabilistic mechanical earth model Seg Technical Program Expanded Abstracts. ,(2003) , 10.1190/1.1817542
Kevin D. Lacy, David M. Pritchard, Deepwater Well Complexity - The New Domain ,(2010)
Andrey Bakulin, Marta Woodward, Olga Zdraveva, Dave Nichols, Application of Steering Filters to Localized Anisotropic Tomography With Well Data Seg Technical Program Expanded Abstracts. ,(2010) , 10.1190/1.3513765