Research on Productivity Prediction Model of Three-Dimensional Directional Wells in Different Reservoirs
Publication: Journal of Energy Engineering
Volume 149, Issue 4
Abstract
Productivity prediction of perforation completion is key for well optimizing completion methods and reservoir engineering research. Productivity prediction models using an additional pressure drop to represent skin factor are limited. In this study, a steady-state productivity prediction model coupled with reservoir seepage and fluid flow in the wellbore was developed. The impact of different perforation parameters on well production was studied. Considering perforation depth, perforation density, perforation diameter, phase angle, depth of contaminated zone, and pollution degree of the contaminated zone, a semi-analytical skin calculation model under different reservoir conditions and completion methods with the least-squares method combining the consideration of perforation depth, perforation density, perforation diameter, phase angle, depth of contaminated zone, and pollution degree of the contaminated zone was developed. Perforation parameters were optimized. A 3D directional well unsteady productivity prediction model was established using the finite-volume method considering the influence of conventional perforation completion parameters, gravel packing perforation completion parameters, natural fractures, reservoir heterogeneity, reservoir scale, skin factor, fluid gravity, fluid compressibility, and rock compressibility. A new method for optimizing perforation parameters and characterizing skin factors was developed, providing a theoretical basis and simulation means for deeper understanding of the development law of directional wells.
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Data Availability Statement
All data, models, and code generated or used during the study appear in the published paper.
Acknowledgments
The authors gratefully acknowledge the support of the National Natural Science Foundation of China (Grant No. 52104033), and the State Key Laboratory of Petroleum Resources and Prospecting; China University of Petroleum (Grant No. PRP/open-2113), and the Postgraduate Innovation and Practice Ability Development Fund of Xi’ an Shiyou University (YCS22213041).
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Information & Authors
Information
Published In
Journal of Energy Engineering
Volume 149 • Issue 4 • August 2023
Copyright
© 2023 American Society of Civil Engineers.
History
Received: Oct 21, 2022
Accepted: Mar 20, 2023
Published online: Jun 5, 2023
Published in print: Aug 1, 2023
Discussion open until: Nov 5, 2023
ASCE Technical Topics:
- Analysis (by type)
- Engineering fundamentals
- Environmental engineering
- Finite volume method
- Flow (fluid dynamics)
- Flow duration
- Fluid dynamics
- Fluid flow
- Fluid mechanics
- Hydraulic engineering
- Hydraulic structures
- Hydrologic engineering
- Least squares method
- Mathematics
- Models (by type)
- Optimization models
- Parameters (statistics)
- Pollution
- Regression analysis
- Reservoirs
- Statistical analysis (by type)
- Statistics
- Three-dimensional models
- Water and water resources
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