Open Access

ARTICLE

A Data-Oriented Method to Optimize Hydraulic Fracturing Parameters of Tight Sandstone Reservoirs

Zhengrong Chen^*, Mao Jiang, Chuanzhi Ai, Jianshu Wu, Xin Xie
CNOOC Research Institute Co., Ltd., Beijing, 100028, China
* Corresponding Author: Zhengrong Chen. Email:

Energy Engineering https://doi.org/10.32604/ee.2024.030222

Received 27 March 2023; Accepted 26 June 2023; Published online 06 March 2024

Abstract

Based on the actual data collected from the tight sandstone development zone, correlation analysis using the Spearman method was conducted to determine the main factors influencing the gas production rate of tight sandstone fracturing. An integrated model combining geological engineering and numerical simulation of fracture propagation and production was completed. Based on data analysis, the hydraulic fracture parameters were optimized to develop a differentiated fracturing treatment adjustment plan. The results indicate that the influence of geological and engineering factors in the X1 and X2 development zones in the study area differs significantly. Therefore, it is challenging to adopt a uniform development strategy to achieve rapid production increase. The data analysis reveals that the variation in gas production rate is primarily affected by the reservoir thickness and permeability parameters as geological factors. On the other hand, the amount of treatment fluid and proppant addition significantly impact the gas production rate as engineering factors. Among these factors, the influence of geological factors is more pronounced in block X1. Therefore, the main focus should be on further optimizing the fracturing interval and adjusting the geological development well location. Given the existing well location, there is limited potential for further optimizing fracture parameters to increase production. For block X2, the fracturing parameters should be optimized. Data screening was conducted to identify outliers in the entire dataset, and a data-driven fracturing parameter optimization method was employed to determine the basic adjustment direction for reservoir stimulation in the target block. This approach provides insights into the influence of geological, stimulation, and completion parameters on gas production rate. Consequently, the subsequent fracturing parameter optimization design can significantly reduce the modeling and simulation workload and guide field operations to improve and optimize hydraulic fracturing efficiency.

---

Keywords

Data mechanism driven; fracturing parameters; gas production; correlation; tight sandstone gas

---