Study of Homogeneous Reservoir Pressure Inversion Model Based on Permeability Mechanics and Interpretation Software Design

Zhongshuai Chen, Hongjian Ni, Zhiqi Sun, Shiping Zhang and Qisong Wang

Mathematical Problems in Engineering, 2021, vol. 2021, 1-10

Abstract:

Well test analysis is required during the extraction of oil and gas wells. The information on formation parameters can be inverted by measuring the change in wellbore pressure at production start-up or after well shutdown. In order to calculate the characteristic parameters of the well, this paper creates a well test interpretation model for homogeneous reservoirs based on the theory of seepage mechanics, uses the Stehfest–Laplace inversion numerical inversion algorithm, and builds the Gringarten–Bourdet logarithmic curves model. The model can be used to evaluate the homogeneous reservoir. We use this model to design the pressure inversion interpretation software to implement a pressure inversion method based on permeability mechanics theory by using computer. The software can obtain the reservoir characteristic parameters such as permeability ( ), skin coefficient ( ), and wellbore storage coefficient ( ). The homogeneous formation Gringarten–Bourdet curves data are available at https://github.com/JXLiaoHIT/Study-of-homogeneous-reservoir-pressure-inversion-model .

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:4494678

DOI: 10.1155/2021/4494678

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