Efficient Simulation of Sandbody Architecture Using Probability Simulation—A Case Study in Cretaceous Condensate Gas Reservoir in Yakela Area, Tahe Oilfield, China

Shuyang Chen, Lin Pan (), Xiao Wang, Honggang Liang and Tian Dong
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Shuyang Chen: School of Earth Resources, China University of Geosciences, Wuhan 430074, China
Lin Pan: School of Earth Resources, China University of Geosciences, Wuhan 430074, China
Xiao Wang: School of Earth Resources, China University of Geosciences, Wuhan 430074, China
Honggang Liang: Sinopec Northwest Oilfield Company, Urumqi 830011, China
Tian Dong: School of Earth Resources, China University of Geosciences, Wuhan 430074, China

Energies, 2022, vol. 15, issue 16, 1-17

Abstract: The Cretaceous condensate gas reservoir in Yakela is in a fan delta system in which the river channel swings frequently and the contact relationships between sandbodies are complicated both vertically and horizontally. Therefore, making the sandbody architecture clear is becoming the most urgent demand in locating the remaining oil. However, conventional well correlations and fine interpretation do not apply in this area due to the large-spacing of wells and the lack of reliable seismic data. In this paper, we analyzed the vertical characteristics of sandbody architecture including the type and thickness of architectural elements and their contact relationships based on well data, then simulated the lateral and planar distribution probabilities via a database containing a large number of dimension parameters from relevant architectural elements using Monte Carlo simulation. This simulation provides reasonable and efficient estimation of inter-well sandbody distribution. The workflow and data we present can be applied to similar clastic reservoir modeling and simulations, especially for areas with insufficient well and seismic data.

Keywords: sandbody architecture; Monte Carlo simulation; reservoir description; Cretaceous; Tahe Oilfield (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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