Hydraulic Fracturing Techbook 2018

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62 | August 2018 | HYDRAULIC FRACTURING: BIG DATA America. The program prescribes specific comple- tion recipes and predicts corresponding production economics for wells. He said analyzing a wider array of data sources could result in increased production rates for operators. "Historically, companies have focused on one or two datasets that affect production and optimizing within those smaller datasets," Smith-Palmer said. "Optimizing completion or drilling without taking a holistic view of all of the available data is defi- nitely limiting the scale of improvement. More data inherently leads to larger gains because the solution considers more variables that affect production and cost performance." Widespread adoption challenges The claim has often been made that the oil and gas industry is notoriously slow to adopt new technolo- gies, and it remains to be seen how widely Big Data analytics will be implemented across the industry despite early favorable results. Coherent data collec- tion and normalizing data are significant barriers operators and service companies alike are working to overcome. Dale Logan, senior vice president of marketing for C&J Services, said companies, especially larger ones with a track record of success, are often reluc- tant to shift away from operations that have so far proven successful. "There are some operators, smaller companies, that are more likely to adopt [analytics]," he said. "They are the early adopters who are embracing the idea of doing this, trying to do something other than geometrically slicing and dicing up the wellbore. The bigger compa- nies are coming around to it. They have had great suc- cess doing things the way they have been doing them." Another challenge to successfully implementing analytics is collating a wide disparity of data types— well logs, borehole videos, drilling reports, seismic, core data, PDFs, texts—and from different sources into something easily consumable and actionable. "Data gathering for each well from the client is a big challenge because different personnel have different types of data in any E&P company, which Reservoir mapping systems applied by BHGE detect downhole dynamic events and improve drilling and completion operations. (Photo courtesy of BHGE) ConocoPhillips first applied Big Data analytics to well designs in its Eagle Ford operations. (Photo courtesy of ConocoPhillips)

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