Abstract

Recently, the well-industry-production-scheme (WIPS) has attracted more and more attention to improve tight oil recovery. However, multi-well pressure interference (MWPI) induced by well-industry-production-scheme (WIPS) strongly challenges the traditional transient pressure analysis methods, which focus on single multi-fractured horizontal wells (SMFHWs) without MWPI. Therefore, a semi-analytical methodology for multiwell productivity index (MPI) was proposed to study well performance of WIPS scheme in tight reservoir. To facilitate methodology development, the conceptual models of tight formation and WIPS scheme were firstly described. Secondly, seepage models of tight reservoir and hydraulic fractures (HFs) were sequentially established and then dynamically coupled. Numerical simulation was utilized to validate our model. Finally, identification of flow regimes and sensitivity analysis were conducted. Our results showed that there was good agreement between our proposed model and numerical simulation; moreover, our approach also gave promising calculation speed over numerical simulation. Some expected flow regimes were significantly distorted due to WIPS. The slope of type curves which characterize the linear or bi-linear flow regime is bigger than 0.5 or 0.25. The horizontal line which characterize radial flow regime is also bigger 0.5. The smaller the oil rate, the more severely flow regimes were distorted. Well rate mainly determines the distortion of MPI curves, while fracture length, well spacing, fracture spacing mainly determine when the distortion of the MPI curves occurs. The bigger the well rate, the more severely the MPI curves are distorted. While as the well spacing decreases, fracture length increases, fracture spacing increases, occurrence of MWPI become earlier. Stress sensitivity coefficient mainly affects the MPI at the formation pseudo-radial flow stage, almost has no influence on the occurrence of MWPI. This work gains some addictive insights on multi-well performance for WIPS scheme in tight reservoir, which can provide considerable guidance on fracture properties estimation as well as well adjustment of production operation for WIPS scheme.

Highlights

  • In recent years, with the increasing global energy demand, as unconventional oil resources, tight oil has become a new hot spot of unconventional oil and oil exploration and development after shaleEnergies 2018, 11, 1054; doi:10.3390/en11051054 www.mdpi.com/journal/energiesEnergies 2018, 11, 1054 oil

  • To account for the heterogeneity of Stimulated Reservoir Volume (SRV) inside and outside region, mainly the change of porosity and permeability in SRV region, five-linear flow model for multi-stage hydraulically fractured horizontal wells was establish in tight oil reservoirs [17]

  • II is applied to identify flow regimes based on special pressure-transient characteristics; Case III is sensitivity analysis of key parameters on pressure-transient response of WIPS scheme

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Summary

Introduction

With the increasing global energy demand, as unconventional oil resources, tight oil has become a new hot spot of unconventional oil and oil exploration and development after shale. Wan and Aziz presented a new semi-analytical model for horizontal wells with multiple hydraulic fractures [6]. In this model, the fractures could be rotated at any angle to a well, and the angle was studied. To account for the heterogeneity of SRV inside and outside region, mainly the change of porosity and permeability in SRV region, five-linear flow model for multi-stage hydraulically fractured horizontal wells was establish in tight oil reservoirs [17]. A semi-analytical methodology for multiwell productivity index is proposed to study well performance of WIPS scheme in tight reservoir.

WIPS Scheme
WIPS is one one possible possible scenarios scenarios of of WIPS
Parameter Description of HFs
Seepage Model in Tight Reservoir System
Tight Oil Reservoir System
HFs System
Methodology
Results and Discussion
Model Validation
Top view numerical model model ofofCase
Identification
Sensitivity Analysis
Ratio of Well
Effects
11. Effects
12. Effects
Case Application
Conclusions
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