Title: A multi-factor coupled acid-etching fracture conductivity prediction model study

Authors: Yu Fan; Jun Liang Peng; Qin Li; Jian Min; Zhouyang Wang

Addresses: Southwest Oil and Gas Company Engineering and Technology Research Institute, No. 25 Xiaoguanmiao Back Street, Qingyang District, Chengdu City, Sichuan Province, China; Pilot Test Base for the Exploitation of High Sulphur Gas Reservoirs for China Oil, South Section 3 of Zhongshan Avenue, Guanghan City, Deyang City, Sichuan Province, China ' Southwest Oil and Gas Company Engineering and Technology Research Institute, No. 25 Xiaoguanmiao Back Street, Qingyang District, Chengdu City, Sichuan Province, China; Pilot Test Base for the Exploitation of High Sulphur Gas Reservoirs for China Oil, South Section 3 of Zhongshan Avenue, Guanghan City, Deyang City, Sichuan Province, China ' College of Energy, Chengdu University of Technology, Sichuan, Chengdu, Chenghua District, China ' Pilot Test Base for the Exploitation of High Sulphur Gas Reservoirs for China Oil, South Section 3 of Zhongshan Avenue, Guanghan City, Deyang City, Sichuan Province, China ' Southwest Oil and Gas Company Engineering and Technology Research Institute, No. 25 Xiaoguanmiao Back Street, Qingyang District, Chengdu City, Sichuan Province, China

Abstract: Starting from the perspective of dynamic dissolution of acid rock reaction, we use fractal dimension and spatial curvature to research the influencing factors and changing rules of acid-etching crack morphology. Under the condition of considering the filtration loss, the relationship between fracture morphology and inflow capacity is investigated, and a multi-factor coupled acid-erosion fracture inflow capacity prediction model is established. The model explores the effects of mineral content, porosity, permeability, rock mechanical properties, acid-rock reaction, and effective distance of acid action on fracture conductivity. The model shows that: dolomite content and calcite content are positively correlated with the hydraulic conductivity; non-carbonate rock mineral content is negatively correlated with the hydraulic conductivity; porosity is positively correlated with the hydraulic conductivity; and permeability is significantly positively correlated with the hydraulic conductivity. Young's modulus is positively correlated with the hydraulic conductivity. Poisson's ratio is negatively correlated with the hydraulic conductivity; and through the comparative analysis, we found that the main controlling factor is the permeability. [Received: July 31, 2023; Accepted: October 15, 2023]

Keywords: fracture space; conductivity; fractal dimension; spatial curvature; prediction model.

DOI: 10.1504/IJOGCT.2024.137880

International Journal of Oil, Gas and Coal Technology, 2024 Vol.35 No.3, pp.241 - 257

Received: 28 Jul 2023
Accepted: 15 Oct 2023
Published online: 05 Apr 2024 *

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