scholarly journals STOCHASTIC INVERSION INTEGRATING SEISMIC DATA, LITHO-FACIES PHYSICAL PROPERTIES, AND MULTIPLE-POINT GEOSTATISTICS FOR RESERVOIR CHARACTERIZATION

2020 ◽  
Author(s):  
Mohamed Mohamed
Geophysics ◽  
2009 ◽  
Vol 74 (5) ◽  
pp. R85-R97 ◽  
Author(s):  
Dennis van der Burg ◽  
Arie Verdel ◽  
Kees Wapenaar

Trace inversion for reservoir parameters is affected by angle averaging of seismic data and wavelet distortion on the migration image. In an alternative approach to stochastic trace inversion, the data are inverted prestack before migration using 3D dynamic ray tracing. This choice makes it possible to interweave trace inversion with Kirchhoff migration. The new method, called ray-based stochastic inversion, is a generalization of current amplitude versus offset/amplitude versus angle (AVO/AVA) inversion techniques. The new method outperforms standard stochastic inversion techniques in cases of reservoir parameter estimation in a structurally complex subsurface with substantial lateral velocity variations and significant reflector dips. A simplification of the method inverts the normal-incidence response from reservoirs with approximately planar layering at the subsurface target locations selected for inversion. It operates along raypaths perpendicular to the reflectors, the direction that offers optimal resolution to discern layering in a reservoir. In a test on field data from the Gulf of Mexico, reservoir parameter estimates obtained with the simplified method, the estimates found by conventional stochastic inversion, and the actual values at a well drilled after the inversion are compared. Although the new method uses only 2% of the prestack data, the result indicates it improves accuracy on the dipping part of the reservoir, where conventional stochastic inversion suffers from wavelet stretch caused by migration.


2021 ◽  
Author(s):  
Mohamed Samy Tawfik ◽  
Medjdouba Nasrine ◽  
Sabiha Annou ◽  
Aiouna Ahcene ◽  
Abderaouf Haddouche ◽  
...  

Abstract Nowadays it become harder, risker and more expensive understanding the reservoir potentiality and design the optimum development plan for challenging thin reservoirs. In a geological complex area, integrated seismic reservoir characterization approach was crucial to unlock the potentiality for the study area, which is located at Oued Mya basin, SE Saharan platform Algeria. Seismic data analysis is one of the key procedures for characterizing reservoirs and monitoring subsurface properties. Integration of seismic stochastic inversion and geological model will help to demonstrate the link between seismic and reservoir properties more quantitative. The seismic data of region were challenging, with around 30 wells drilled over 400 Km2. To overcome the challenges, the available geological and geophysical data were integrated to construct the reservoir characterization study and reduce drilling uncertainty. Ensure the reservoir characterization process was constrained by a robust workflow and consistent with the available geophysical, geological, and petrophysical data. Petrophysical interpretation, seismic interpretation, rock physics analysis and Stochastic Inversion processes were carried out. These processes were integrated to characterize the lateral and vertical extent of the lithofacies in five stacked reservoirs across the area of interest to identify the potential delineation of thin reservoirs of nine-meter thickness.


2011 ◽  
Author(s):  
Deng Zhi‐wen ◽  
Mrinal K. Sen ◽  
Yang Xue

2013 ◽  
Vol 88 ◽  
pp. 70-82 ◽  
Author(s):  
Gaëlle Lefeuve-Mesgouez ◽  
Arnaud Mesgouez ◽  
Erick Ogam ◽  
Thierry Scotti ◽  
Armand Wirgin

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