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Using Data-Driven Technologies to Accelerate the Field Development Planning Process / Technical
Hosted by World Oil Webcasts on Thursday, April 06, 2017 | 10:00 AM CST
A data-driven technology for diagnosing reservoir conditions and generating field development plans for mature assets is presented, based on machine learning
and automation of standard petroleum engineering workflows, without requiring a full field simulation model. Ideally suited for large, complex oil
fields with large data sets (e.g. thousands of wells producing over many decades), these field development plans are prepared within three weeks using
this technology to serve as operating plans and reserves basis. Recent applications of this technology have resulted in field development plans including
recompletions targeting pay behind pipe, artificial lift upgrades and optimizations, offline well reactivations, new well locations, and waterflood