Hydraulic Fracturing Techbook 2018

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58 | August 2018 | HYDRAULIC FRACTURING: BIG DATA Silverback Exploration drilled three additional wells, with two in the Upper Wolfcamp A. C&J reported that the LateralScience wells outper- formed Silverback's two sonic wells by an average of 25% in the first nine months, with oil IP 30 results averaging more than 1,000 bbl/d. The production rate was achieved using 100-ft stage lengths and between four to six clusters per stage, depending on the MSE hardness index, C&J stated. Silverback eventually sold its acreage position to another operator, which subsequently drilled three new Upper Wolfcamp A wells on that acreage. Accord- ing to C&J, the new operator's wells were completed using a geometric design with constant stage lengths and increased clusters per stage from three stages to 15 stages. "This provided an opportunity to evaluate the optimized LateralScience five-cluster design versus the geometric 15-cluster design," C&J reported in its study. "After a short time, both LateralScience wells significantly outperformed the best 15-cluster geometric and sonic-based designs." Designing benchmark wells Baker Hughes, a GE company (BHGE), applies ana- lytics to create benchmark wells with data it acquires from the varying components of an operator's existing wells. Kishore Sundararajan, president of engineering and product management for BHGE's oilfield services division, provided an example of an analysis of 30 wells and how the data the wells pro- vide can be modeled to create a benchmark well for an operator to follow. "We have the data from the wells," he said. "We know what was used to drill the well—the fluids, the rig, the rig operator, all of that data. If those 30 wells are on, say, 5,000-ft laterals, then we can break down the wellbore quality and ROP information by forma- tion, and even within the formation we can analyze 20-ft segments. Now we have 30 wells in which we can compare lithology, formation, fluids, along with ROP and quality for that segment." That information, Sundararajan said, allows BHGE to know which segment of which well was drilled and completed the best for that formation. "I can thread together the best pieces of the 30 wells and build a well in theory, meaning that's the benchmark well we can build if you put all of your best practices to work," he said. Sundararajan said BHGE is in the midst of a project with an operator that focuses on offset well analysis with the goal to implement better completion designs. "We are looking at wells that have been drilled and completed in a new field and identifying what completions work best for that producing well," he said. "It's an engagement to show them we can use Big Data to actually select better completions, not only design better completions." Intelligent logistics Halliburton Landmark's Well Construction 4.0 Digital Well Program utilizes a digital twin con- cept in well development, a system that digitally replicates and models an operator's physical assets, leverages data and inputs from modeling and upstream operations, and creates a continu- ous loop between the physical and digital worlds. The system, according to Landmark, identifies an efficient way to maintain the drilling process that, in turn, enables key decisions during planning and, more critically, live drilling. "In addition to the pre-existing subsurface data and historical information, all surface equipment, downhole and rig data are fed to Landmark's sys- tem to continuously optimize and solve user-defined objective functions subject to physical, safety and economic constraints," said Olivier Germain, director of industry solutions at Halliburton Landmark. Lapi Dixit, Halliburton's chief digital officer, said the company is designing a system that leverages machine learning and advanced analytics for well con- struction that includes automating and shortening the life cycle for well placement, design and execution. BHGE creates benchmark well designs by analyzing the different components of previously designed wells. (Photo courtesy of BHGE)

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