Geological and Engineering Integrated Shale Gas Sweet Spots Evaluation Based on Fuzzy Comprehensive Evaluation Method: A Case Study of Z Shale Gas Field HB Block

Article Energy & Fuels

Shale gas well flowback rate prediction for Weiyuan field based on a deep learning algorithm

Liu Yuyang et al.

Summary: The study established an algorithm and prediction model for the flowback parameters of Weiyuan shale gas wells using a deep learning algorithm, capturing their flowback characteristics effectively. Through deep learning method, the correlations between different data sets are accurately captured and high prediction accuracy is achieved.

JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING (2021)

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Article Energy & Fuels

A deep-learning-based prediction method of the estimated ultimate recovery (EUR) of shale gas wells

Yu-Yang Liu et al.

Summary: This paper develops a deep-learning algorithm for predicting the EUR of shale gas wells based on geological, hydraulic fracturing, and production data. The approach shows high accuracy and is influenced by various factors such as input parameters and network structure. The proposed method can be extended to other shale fields with similar technical processes.

PETROLEUM SCIENCE (2021)

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Correction Engineering, Multidisciplinary