A New Method for Determining Economic Well Pattern Density and Infilling Time of Tight Gas Reservoirs

Daye Wang (), Maojun Fang, Hao Li, Guangsheng Cao (), Weipeng Fan and Bo Wang
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Daye Wang: CNOOC Research Institute Co., Ltd., Beijing 100028, China
Maojun Fang: CNOOC Research Institute Co., Ltd., Beijing 100028, China
Hao Li: CNOOC Research Institute Co., Ltd., Beijing 100028, China
Guangsheng Cao: Key Laboratory of Improving Oil and Gas Recovery Efficiency of the Ministry of Education, Northeast Petroleum University, Daqing 163318, China
Weipeng Fan: CNOOC Research Institute Co., Ltd., Beijing 100028, China
Bo Wang: CNOOC Research Institute Co., Ltd., Beijing 100028, China

Energies, 2024, vol. 17, issue 5, 1-17

Abstract: Well pattern infilling optimization is a crucial measure to enhance gas recovery, especially in tight gas reservoirs with low permeability and small-scale sand bodies. Traditional methods of determining well pattern density rely on qualitative analysis from the perspective of gas blocks. However, these methods are challenging to apply to sand bodies with different properties, and there have been no studies conducted on infilling time, which significantly impacts production increment. In response to this situation, this paper establishes a series of evaluation indexes and proposes a numerical simulation of economic well pattern density and infilling time based on real parameters obtained from the Linxing–Shenfu gas field. To quantitatively determine the economic well pattern density and infilling time based on fine characterization of sand bodies, a sensitivity analysis is conducted, considering various permeability levels and reserve abundance. Two intersection charts of economic well pattern density and infilling time, relating to reserve abundance and permeability, are then drawn. Furthermore, a real well site is selected as an example, and the infilling effect analysis confirms the reliability of the charts. The new method of determining economic well pattern density and infilling time presented in this article can provide theoretical support for the economic and efficient development of the Linxing–Shenfu gas field, serving as a useful reference for the beneficial development of similar gas reservoirs.

Keywords: tight gas reservoir; economic well pattern density; infilling time; well pattern infilling; sand body fine characterization; Linxing–Shenfu gas field (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: 2024
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