Case Study: Optimizing Eagle Ford Field Development Through a Fully Integrated Workflow
- Adrian Morales (Chesapeake Energy Corp.) | Robert Holman (Chesapeake Energy Corp.) | Drew Nugent (Chesapeake Energy Corp.) | Jingjing Wang (Chesapeake Energy Corp.) | Zach Reece (Chesapeake Energy Corp.) | Chinomso Madubuike (Chesapeake Energy Corp.) | Santiago Flores (Chesapeake Energy Corp.) | Tyson Berndt (Chesapeake Energy Corp.) | Vincent Nowaczewski (Chesapeake Energy Corp.) | Stephanie Cook (Chesapeake Energy Corp.) | Amanda Trumbo (Chesapeake Energy Corp.) | Rachel Keng (Chesapeake Energy Corp.) | Julieta Vallejo (Chesapeake Energy Corp.) | Rex Richard (Chesapeake Energy Corp.)
- Document ID
- Society of Petroleum Engineers
- SPE Annual Technical Conference and Exhibition, 30 September - 2 October, Calgary, Alberta, Canada
- Publication Date
- Document Type
- Conference Paper
- 2019. Society of Petroleum Engineers
- Natural Fracture, Hydraulic Fracture, Eagle Ford, Case Study, Reservoir
- 308 in the last 30 days
- 309 since 2007
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An integrated project can take many forms depending on available data. As simple as a horizontally isotropic model with estimated hydraulic fracture geometries used for simple approximations, to a large scale seismic to simulation workflow. Presented is a large-scale workflow designed to take into consideration a vast source of data.
In this study, the team investigates a development area in the Eagle Ford rich in data acquisition. We develop a robust workflow, taking into account field data acquisition (seismic, 4D seismic and chemical tracers), laboratory (geomechanical, geochemistry and PVT) measurements and correlations, petrophysical measurements (characterization, facies, electrical borehole image), real time field surveillance (microseismic, MTI, fracture hit prevention and mitigation program through pressure monitoring) and finally integrating all the components of a complex large scale project into a common simulation platform (seismic, geomodelling, hydraulic fracturing and reservoir simulation) which is used to run sensitivities.
The workflow developed and applied for this project can be scaled for projects of any size depending on the data available. After integrating data from various disciplines, the following primary drivers and reservoir understanding can be concluded. At a given oil price, optimum well spacing for a given completion strategy can be developed to maximize rate of return of the project. Many operators function in isolated teams with a genuine effort for collaboration, however genuine effort is not enough for a successful integrated modelling project, a dedicated multidisciplinary team is required.
We present what is to our knowledge, one of the most complete data sets used for an integrated modelling project to be presented to the public. The specific lessons from the project are applied to future Eagle Ford projects, while the overall workflow developed can be tailored and applied to any future field developments.
|File Size||4 MB||Number of Pages||35|
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