Investigation of Well Management on Hydrocarbon Recovery in Reservoirs With Pressure Dependent Permeability
- Y. Song (University of Houston) | C. A. Ehlig-Economides (University of Houston)
- Document ID
- Society of Petroleum Engineers
- SPE Western Regional Meeting, 22-26 April, Garden Grove, California, USA
- Publication Date
- Document Type
- Conference Paper
- 2018. Society of Petroleum Engineers
- 5 Reservoir Desciption & Dynamics, 5.5 Reservoir Simulation
- hydraulic fracture, Pressure dependent permeability, Stimulated Rock Volume, pressure transient testing, matrix
- 2 in the last 30 days
- 155 since 2007
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Production rate and pressure transient data recorded in multiple transverse fracture horizontal wells (MTFHWs) suggested that well productivity is lost when wells are produced with excessive pressure drawdown. Pressure dependent permeability (PDP) may be a reason for this behavior. Moreover, in stress sensitive reservoirs, some models suggested that the pressure dependent permeability can result in productivity reversal. These models implied there is an optimum flowing pressure point which can lead to the maximum flow rate, and flowing at any other pressure will reduce the flow rate. The objective of this study is to discover how to quantify the inputs required to manage the well production.
This study is divided into two main parts. From the results of the first part, we learned that our simulation model can reproduce published results and can be used for the second part of the study. Using the model, we established that successive buildups must be acquired under different flowing pressures to provide meaningful results and can be used for permeability modulus estimation. We also learned that the behavior of the buildup transients distinctly depends on whether the pressure dependent permeability is mainly in the fractures or in the stimulated rock volume (SRV). Finally, we concluded that a rigorous model applying pressure dependent permeability phenomenon in space and time does not confirm the well management practices proposed in the literature. While these practices are likely well advised, PDP models do not justify them.
|File Size||2 MB||Number of Pages||27|
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