The result was compared with that of prestack AVA simultaneous inversion. The method used geostatistical inversion with lithology masks to calculate water saturation.
In this paper, in order to solve this issue, we presented a high-resolution method for fluid prediction. So it cannot precisely predict the fluid in thin layer and cannot meet the needs of precise exploration. However, these methods do analysis mainly based on seismic data, and their vertical resolution is limited. Conventional fluid prediction is mainly based on AVO technology, including AVO analysis, prestack AVA simultaneous inversion, elastic impedance inversion, and other methods. The precise prediction for thin-layer fluid becomes an urgent problem for oil and gas exploration. The need of precise exploration is increasing. Nowadays the main target of geological exploration has changed from a simple constructed oil and gas reservoir to complex structure reservoir and lithology reservoir. It showed that this method had high resolution both in vertical and lateral directions for fluid prediction and could also predict the fluid in thin layer efficiently. The result was compared with that of prestack AVA simultaneous inversion for fluid prediction. We applied this method to theoretical model and real data. In order to predict the fluid in thin layer precisely, this paper proposed a high-resolution method for fluid prediction. 51Ĭhapter 3: Downscaling Multiple Seismic Inversion Constraints to FineScaleFlow Models. 482.8.3 Performance of Inexact MCMC Simulations. 472.8.2 Convergence of Inexact MCMC Simulations. 432.6.3 Sum of Prior Means Less Than Constraint. 382.4.2 Auxiliary Variables to Treat Pinchouts. 34Ģ.3 Prior and Likelihood Distributions in 2D. 312.2.4 Zero Thickness Conditioning Data. 25Ģ.1.1 Nature of the Seismic Constraints. 252.1 Integrating Geologic, Seismic and Well Data. 23Ĭhapter 2: Downscaling of Seismic Inversion Inexact Thickness. This dissertation is dedicated to my parents.Īcknowledgments. My wife enchanted me with her care and support. My brother, even though younger, switched roles and advised My father and mother have been constant sources of Mobil and Bill Cleary of BHP-Billiton for their valuable guidance.įinally, Id like to thank my family. I extend many thanks to my friends especially Hong Tang, Xin Li, Shengkai Duan, andĬharisma Lattao and colleagues especially Mike Shook of Chevron, Ricard Sech of Exxon. Special thanks to all the PetroleumĮngineering faculty for valuable discussions.
Seung Kam for providing me with valuable suggestions. This work was motivated byĪ perceived need to integrate Geoscience and Geostatistics and funded by an unrestricted Quantitative Interpretation and want to thank him for supporting and guiding my research.Įvery discussion with these three is valuable and educational. Want to thank him for his thoughtful insights and help in my understanding of Bayesian During last six years he encouraged me toīe an independent researcher, gave me freedom in choosing research direction, and offered This dissertation would not be possible without several contributions. Seismic Inversion Reservoir Xterization Done Project - sl. in Petroleum Engineering, Louisiana State University, 2005December 2008 in Chemical Engineering, REC Warangal, 2002M.S. The Craft & Hawkins Department of Petroleum Engineeringī.Tech. Requirements for the degree ofDoctor of Philosophy Submitted to the Graduate Faculty of theLouisiana State University andĪgricultural and Mechanical Collegein partial fulfillment of the RESERVOIR CHARACTERIZATION USING SEISMIC INVERSION DATA