Abstract
The Permian Shan 1 reservoir in the Longdong area of the Ordos Basin, China, is a typical compact sandstone reservoir with low porosity and low permeability. There are apparent multi-solutions for predicting gas-bearing properties of the compact reservoir by post-stack technique. The Shan 1 reservoir filled with gas is mainly manifested by type I AVO anomaly, in which the amplitude decreases with the increase of offset. However, this phenomenon cannot distinguish partially saturated reservoir from fully saturated one. According to forward modeling and AVO theory, we proposed a new method for attributes calculation: estimating degree of saturation of reservoir by optimizing stacking angles and utilizing difference of offset amplitude attributes. Effectiveness of the method has been verified.
Copyright 2018, Shaanxi Petroleum Society.
This paper was prepared for presentation at the 2018 International Field Exploration and Development Conference in Xi’an, China, 18–20 September, 2018.
This paper was selected for presentation by the IFEDC Committee following review of information contained in an abstract submitted by the author(s). Contents of the paper, as presented, have not been reviewed by the IFEDC Committee and are subject to correction by the author(s). The material does not necessarily reflect any position of the IFEDC Committee, its members. Papers presented at the Conference are subject to publication review by Professional Committee of Petroleum Engineering of Shaanxi Petroleum Society. Electronic reproduction, distribution, or storage of any part of this paper for commercial purposes without the written consent of Shaanxi Petroleum Society is prohibited. Permission to reproduce in print is restricted to an abstract of not more than 300 words; illustrations may not be copied. The abstract must contain conspicuous acknowledgment of IFEDC. Contact email: paper@ifedc.org.
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References
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Bi, M., Zhou, Y., Zhang, Y., Lei, Y. (2020). Prediction of Gas-Bearing Properties of Compact Sandstone Based on Avo-Analyzed Attribute Variance. In: Lin, J. (eds) Proceedings of the International Field Exploration and Development Conference 2018. IFEDC 2018. Springer Series in Geomechanics and Geoengineering. Springer, Singapore. https://doi.org/10.1007/978-981-13-7127-1_28
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DOI: https://doi.org/10.1007/978-981-13-7127-1_28
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