<p>Horizontal well multi-cluster fracturing technology is the most effective technical approach to exploit unconventional reservoirs (such as shale). The hydrocarbon productivity after fracturing often depends on the selection of fracturing location and fracturing parameters. However, these influencing parameters are very diverse and coupled with each other. Numerical simulation methods and laboratory experiment methods are often difficult to reflect the true influence rules. Therefore, this study develops a new multi-factor analysis method based on field data to explore the weights of fracturing parameters that affect the hydrocarbon productivity after fracturing. This method combined with gray correlation method and entropy weight method to establish a combined weight analysis model. This method can comprehensively evaluate the influence factors on the post-fracturing productivity, and meanwhile ensure the accuracy of the obtained results through field test. In our study, the influence of geological factors and fracturing parameters on 50 horizontal wells in Changning Shale are analyzed by this new method. These 50 wells are from the same block but have different ranges of fracturing parameters. The analysis results show that the weight rankings of the fracturing parameters on the post-fracturing productivity are injection fluid intensity, injection sand intensity, cluster spacing, injection rate, stage length, and average pump pressure. The weight rankings of geological parameters affecting post-fracturing productivity are total gas content, brittle mineral content, porosity, Young's modulus, minimum principal stress, total organic carbon, Poisson's ratio, and maximum principal stress. Based on the optimized parameter results, the optimized fracturing parameter were used for on-site adjacent well test. The on-site fracturing results showed that the gas productivity from the optimized adjacent well increased by 51.54%, which further proves the reliability of this model. Our study provides a new means of analyzing the impact parameters for field data, and also provide a helpful guide for the selection of fracturing parameters in Changning Shale.</p>

Optimization of Fracturing Parameters in Changning Shale Based on a New Comprehensive Multi-Factor Analysis Method

Paper Proceedings: https://asmedigitalcollection.asme.org/OMAE/OMAE2021/volume/85116

OMAE 2021

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