The flowback system after fracturing is a key factor affecting the development effect of shale oil horizontal wells. This paper systematically analyzes the actual data of post-fracturing productivity in the study area, and preliminarily evaluates the main controlling factors and sensitivities that affect the development effect. By means of the reservoir numerical simulation method, the mining field data is fitted, and then the influence rule of the main control factors selected by the systematic simulation calculation on the development effect is calculated. Developed a data mining optimization model for the volume fracturing flowback system in shale oil horizontal wells, and carried out the main controlling factors and sensitivity evaluations that affect the production effect. The results show that the fitting accuracy of the fracturing flowback effect evaluation and prediction model formed in this paper to the actual data of the target area can reach more than 89%; The sensitivity of the main controlling factors affecting the post-fracturing productivity in the study area are: fracturing construction parameters, compressibility parameters, flowback system and geological factors; among them, there is an obvious positive correlation trend between productivity, flowback time and flowback amount, and the cumulative flowback volume has the greatest influence on the flowback system of oil well productivity. The optimization method based on data mining can better guide the optimal design of the fracturing flowback system for shale oil horizontal wells in the target area, and provide support for improving the fracturing production effect of shale oil horizontal wells in the target area.
Published in | Petroleum Science and Engineering (Volume 6, Issue 1) |
DOI | 10.11648/j.pse.20220601.14 |
Page(s) | 38-46 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2022. Published by Science Publishing Group |
Shale Oil, Horizontal Well Volume Fracturing, Optimization of Flowback System, Data Mining Method
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APA Style
Meng Feng, Weihong Xu, Hui Liu, Yu Liu, Zhihao Jiang, et al. (2022). Main Controlling Factors of the Flowback Effect for Volumetric Fracturing Horizontal Wells in Shale Oil Reservoir. Petroleum Science and Engineering, 6(1), 38-46. https://doi.org/10.11648/j.pse.20220601.14
ACS Style
Meng Feng; Weihong Xu; Hui Liu; Yu Liu; Zhihao Jiang, et al. Main Controlling Factors of the Flowback Effect for Volumetric Fracturing Horizontal Wells in Shale Oil Reservoir. Pet. Sci. Eng. 2022, 6(1), 38-46. doi: 10.11648/j.pse.20220601.14
@article{10.11648/j.pse.20220601.14, author = {Meng Feng and Weihong Xu and Hui Liu and Yu Liu and Zhihao Jiang and Feipeng Wu}, title = {Main Controlling Factors of the Flowback Effect for Volumetric Fracturing Horizontal Wells in Shale Oil Reservoir}, journal = {Petroleum Science and Engineering}, volume = {6}, number = {1}, pages = {38-46}, doi = {10.11648/j.pse.20220601.14}, url = {https://doi.org/10.11648/j.pse.20220601.14}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.pse.20220601.14}, abstract = {The flowback system after fracturing is a key factor affecting the development effect of shale oil horizontal wells. This paper systematically analyzes the actual data of post-fracturing productivity in the study area, and preliminarily evaluates the main controlling factors and sensitivities that affect the development effect. By means of the reservoir numerical simulation method, the mining field data is fitted, and then the influence rule of the main control factors selected by the systematic simulation calculation on the development effect is calculated. Developed a data mining optimization model for the volume fracturing flowback system in shale oil horizontal wells, and carried out the main controlling factors and sensitivity evaluations that affect the production effect. The results show that the fitting accuracy of the fracturing flowback effect evaluation and prediction model formed in this paper to the actual data of the target area can reach more than 89%; The sensitivity of the main controlling factors affecting the post-fracturing productivity in the study area are: fracturing construction parameters, compressibility parameters, flowback system and geological factors; among them, there is an obvious positive correlation trend between productivity, flowback time and flowback amount, and the cumulative flowback volume has the greatest influence on the flowback system of oil well productivity. The optimization method based on data mining can better guide the optimal design of the fracturing flowback system for shale oil horizontal wells in the target area, and provide support for improving the fracturing production effect of shale oil horizontal wells in the target area.}, year = {2022} }
TY - JOUR T1 - Main Controlling Factors of the Flowback Effect for Volumetric Fracturing Horizontal Wells in Shale Oil Reservoir AU - Meng Feng AU - Weihong Xu AU - Hui Liu AU - Yu Liu AU - Zhihao Jiang AU - Feipeng Wu Y1 - 2022/05/12 PY - 2022 N1 - https://doi.org/10.11648/j.pse.20220601.14 DO - 10.11648/j.pse.20220601.14 T2 - Petroleum Science and Engineering JF - Petroleum Science and Engineering JO - Petroleum Science and Engineering SP - 38 EP - 46 PB - Science Publishing Group SN - 2640-4516 UR - https://doi.org/10.11648/j.pse.20220601.14 AB - The flowback system after fracturing is a key factor affecting the development effect of shale oil horizontal wells. This paper systematically analyzes the actual data of post-fracturing productivity in the study area, and preliminarily evaluates the main controlling factors and sensitivities that affect the development effect. By means of the reservoir numerical simulation method, the mining field data is fitted, and then the influence rule of the main control factors selected by the systematic simulation calculation on the development effect is calculated. Developed a data mining optimization model for the volume fracturing flowback system in shale oil horizontal wells, and carried out the main controlling factors and sensitivity evaluations that affect the production effect. The results show that the fitting accuracy of the fracturing flowback effect evaluation and prediction model formed in this paper to the actual data of the target area can reach more than 89%; The sensitivity of the main controlling factors affecting the post-fracturing productivity in the study area are: fracturing construction parameters, compressibility parameters, flowback system and geological factors; among them, there is an obvious positive correlation trend between productivity, flowback time and flowback amount, and the cumulative flowback volume has the greatest influence on the flowback system of oil well productivity. The optimization method based on data mining can better guide the optimal design of the fracturing flowback system for shale oil horizontal wells in the target area, and provide support for improving the fracturing production effect of shale oil horizontal wells in the target area. VL - 6 IS - 1 ER -