Reservoir: "Accelerating the Field Development Planning Process with Data-Driven Technologies"

Speaker: Jeremy Brown
Speaker Jeremy Brown
   As a QRI Reservoir Management Analyst, Jeremy Brown has been deployed to national oil companies in Kuwait, Mexico, and China, on some of the world’s largest reservoirs, and currently supports the giant Raudhatain and Sabriyah fields of Kuwait. Mr. Brown previously worked as Sr. Staff Engineer in reservoir engineering ...

   As a QRI Reservoir Management Analyst, Jeremy Brown has been deployed to national oil companies in Kuwait, Mexico, and China, on some of the world’s largest reservoirs, and currently supports the giant Raudhatain and Sabriyah fields of Kuwait. Mr. Brown previously worked as Sr. Staff Engineer in reservoir engineering for ExxonMobil, assigned to projects in Alaska, Australia, and the Pacific region. Before joining ExxonMobil, he worked as lead research engineer for the Design Institute for Physical Properties Research, a thermodynamics research initiative directed by the American Institute of Chemical Engineers. Brown has a bachelor of science in Chemical Engineering from Brigham Young University and masters in Engineering in Petroleum Engineering from University of Houston.

Full Description
“Accelerating the Field Development Planning Process with Data-Driven Technologies”
   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.
  • Phase I (1 week): Organizing all well data, including logs, production/injection, completions, etc.
  • Phase II (2 hours): Automated or machine-assisted workflows for geological mapping, estimating flow contribution by stratigraphic flow unit, decline curve analysis, material balance history matching, fractional flow modeling, drainage area estimation for all wells by flow unit, identifying pay behind pipe, identifying unswept/bypassed oil pockets, and waterflood optimization.
  • Phase III (2 weeks): Technical validation by senior engineers, during which those opportunities that are technically valid with high confidence proceed to economic modeling.
  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 plans.
Organizer Alex Martinez

Contact information: adinorah.martinez@gmail.com


 


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When?

Tue, Nov. 8, 2016
11:30 a.m. - 1 p.m. US/Central

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Where?

Sullivan's Steakhouse
4608 Westheimer Rd
Houston, Texas 77027

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