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Big Data vs. Diverse Data: Confidential Databases Lack Performance Benchmarks

Carlos Castañeda is hungry for more data and analysis from coiled tubing jobs, and the manager of coiled tubing engineering at Pioneer Energy Services said he also needs to know how his company’s work compares with the competition.

Pioneer is one of more than 25 companies relying on CoilData for real-time monitoring. The data and analysis can tell him which of his people is efficiently drilling out plugs left after fracturing and the ones who may need retraining.

What he does not have is a measure of how his company’s work compares with competing well-intervention companies because the data needed to do that are confidential.

“If you are an individual service company, you are looking at your pipe in isolation,” said Paul Brown, the CEO and founder of CoilData. He sees great value in the data he has collected from more than 155,000 jobs monitored over the past 10 years, but tapping it will require companies to decide if the competitive advantage of analysis based on industry benchmarks exceeds the value of the current level of confidentiality.

Recently he presented a rare multi-company look at how coiled tubing companies manage their most critical asset, coiled tubing strings. The paper presented at the SPE/ICoTA Well Intervention Conference and Exhibition showed significant differences in how much use companies got out of 3,700 tubing strings studied (SPE 194306). It raised the question: Are they leaving money on the table by prematurely retiring tubing strings that cost about $250,000 each?

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Big Data vs. Diverse Data: Confidential Databases Lack Performance Benchmarks

Stephen Rassenfoss, JPT Emerging Technology Senior Editor

01 July 2019

Volume: 71 | Issue: 7

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