Difference between revisions of "Hydraulic Fracturing Design Optimization - Bakken Case Study"
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==Hydraulic Fracturing Design Cases== | ==Hydraulic Fracturing Design Cases== | ||
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The Bakken Big Data study on the area compiled by the company petroleum engineers suggests an optimum completion design being 30 stages with 10 clusters per stage. Based on working experience, engineers estimate to get about 200 fractures as a result of the well stimulation. | The Bakken Big Data study on the area compiled by the company petroleum engineers suggests an optimum completion design being 30 stages with 10 clusters per stage. Based on working experience, engineers estimate to get about 200 fractures as a result of the well stimulation. | ||
Revision as of 08:09, 21 November 2019
Contents
Hydraulic Fracturing Design Optimization - Bakken Case Study
The case study is prepared to illustrate the capabilities of the optiFracMS multistage fracturing optimization software.
The goal of the study is to optimize a fracturing design for a Bakken formation.
Two fracture design cases were considered:
- Operating company fracture design based on a Big Data application
- optiFracMS optimized fracturing design
For the both cases a production forecast was calculated and cumulative oil production was compared.
Inputs
Fracturing Design Parameters |
Fracture Production Forecast Parameters | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Hydraulic Fracturing Design Cases
Operating company design - Big Data
The Bakken Big Data study on the area compiled by the company petroleum engineers suggests an optimum completion design being 30 stages with 10 clusters per stage. Based on working experience, engineers estimate to get about 200 fractures as a result of the well stimulation.
