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Doug Lehr

Senior Manager for Design for Reliability Baker Hughes
  • In the 2020 Completions Technology Focus, I stated that digitization will forever change how the most complex problems in our industry are solved. And, despite another severe downturn in the upstream industry, data science continues to provide solutions for complex unconventional well problems.
  • Machine learning can provide accurate prediction of annular pressure buildup, first-year oil production, and (in conjunction with novel casing accessories) the time and location of water breakthrough along a lateral wellbore.
  • The synopses in this feature show how machine learning can provide accurate prediction of annular pressure buildup, first-year oil production, and (in conjunction with novel casing accessories) the time and location of water breakthrough along a lateral wellbore.
  • In reviewing abstracts and papers for this feature, many impressive themes were evident—too many to cover in one editorial. I have commented on two: the advancements in unconventional completion design and the use of academia as a source of sophisticated completion analysis.
  • All completion systems should enable the safe and profitable extraction of reserves. To maximize the useful life of the completions system, reliability of components, configurations, and processes should be maximized.
  • Hardware innovation will continue to occur, but data analytics, multivariate modeling, and process optimization are emerging as new contributors to completion success.
  • There is intense focus across the industry on profitability in the current low-oil-price environment. Yet, today’s profitability is not the only challenge. Laying the groundwork for future profitability must also occur.