Abstract
Relationships between reservoir properties and elastic parameters are established using log data. Based on rock physics modeling, seismic responses and AVO features of rocks and fluids are analyzed using AVO forward modeling. The oil-bearing sandstone thickness is estimated using forward modeling of a 2D wedge, which has geologically meaningful model for geophysical interpretation. The markov-Chain Monte Carlo lithology simulation and geostatistical inversion are used to predict oil-bearing sandstone thickness and distribution in the Upper Jurassic reservoir and an effective workflow of hydrocarbon detection is established.
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This paper was prepared for presentation at the 2019 International Field Exploration and Development Conference in Xi’an, China, 16–18 October, 2019.
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Acknowledgments
The project is supported by the Special and Significant Project of National Science and Technology “Global oil and gas resources assessment and constituencies with research” (No: 2016ZX05029) and is published with the approval of Research Institute of Petroleum Exploration and Development, PetroChina.
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Fan, Cj., Yin, Jq., Liang, Xg. (2020). AVO Modeling and Its Application to Hydrocarbon Detection. In: Lin, J. (eds) Proceedings of the International Field Exploration and Development Conference 2019. IFEDC 2019. Springer Series in Geomechanics and Geoengineering. Springer, Singapore. https://doi.org/10.1007/978-981-15-2485-1_150
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DOI: https://doi.org/10.1007/978-981-15-2485-1_150
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