Optimization of Bakken Well Completions in a Multivariate WorldSPE-189868-MS, SPE Hydraulic Fracturing Technology Conference and Exhibition (SPE HFTC), 2018
The full text of this technical paper can be found at OnePetro.
The advent of mega-sized hydraulic fracturing jobs which incorporate increased proppant per foot density, enlarged fluid volumes, tighter cluster spacing, and shorter stages in the Bakken/Three Forks play, have led to significantly higher IP’s on the order of 20% over the past two years. Yet despite this dramatic increase, concerns exist as to whether treatments are fully optimized with respect to costs of overall volumes, rates, and concentrations. This paper describes two case histories, one in the Middle Bakken and one in the Three Forks formations of the Williston Basin, where a multidisciplinary geoscience and engineering team was assembled to attempt to answer the optimization question within the confines of real-world operational logistics and cost constraints.
In these case histories, an optimization process is described that begins with wellbore context. The consideration of offset wells in the area, data analytics processes considering reservoir quality, and perceived successful completions for the area are incorporated as input. Detailed layered and geomechanical models are then constructed using drilling, neural network and public domain data to produce optimized perforation cluster design and grouping in precise fracturing stages. A rigorous planar 3D hydraulic fracturing model is used to simulate fracture geometry characteristics including height growth, half length, and aperture. Lastly, proppant tracing and production modeling were used to validate the approach used.
The result of the project was to develop an optimization process incorporating the multidisciplinary technical team’s expertise to provide an integrated, cost-effective completion design that would lead to more rigorous support for why these engineering decisions were taken. In addition, a secondary goal was to leverage software and database capacity for completion decisions into a “best practices process” that would neither burden the existing E&P staff nor hinder the completion timing. The resultant case study captures the process, technology analysis, weighted benefits, takeaway learnings, and results from two such wells within the Williston Basin.
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