Creating Open Source Models, Test Cases, and Data for Oilfield Drilling Challenges
- Paul Pastusek (ExxonMobil Development Co.) | Greg Payette (ExxonMobil Upstream Research Co.) | Roman Shor (University of Calgary) | Eric Cayeux (Norce) | Ulf Jakob Aarsnes (Norce) | John Hedengren (Brigham Young University) | Stéphane Menand (DrillScan) | John Macpherson (Baker Hughes GE) | Raju Gandikota (MindMesh Inc.) | Michael Behounek (Apache Corp.) | Richard Harmer (Schlumberger) | Emmanuel Detournay (University of Minnesota) | Roland Illerhaus (Integrity Directional) | Yu Liu (Shell Development Co.)
- Document ID
- Society of Petroleum Engineers
- SPE/IADC International Drilling Conference and Exhibition, 5-7 March, The Hague, The Netherlands
- Publication Date
- Document Type
- Conference Paper
- 2019. SPE/IADC Drilling Conference and Exhibition
- 1.6 Drilling Operations, 2.7.1 Completion Fluids, 1.4 Drillstring Design, 1.4.1 BHA Design, 1.6.1 Drill String Components and Drilling Tools (tubulars, jars, subs, stabilisers, reamers, etc), 2 Well completion, 1.10 Drilling Equipment, 2.7 Completion Fluids, 1.6.9 Coring, Fishing
- validation and verification DSATS, peer reviewed public repository, open source models data benchmark, drilling dynamics directional hydraulics, MPD, bit-rock interaction non-linear rig control system
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The drilling industry has substantially improved performance based on knowledge from physics-based, statistical, and empirical models of components and systems. However, most models and source code have been recreated multiple times, which requires significant effort and energy with little additional benefit or step-wise improvements.
The authors propose that it is time to form a coalition of industry and academic leaders to support an open source effort for drilling, to encourage the reuse of continuously improving models and coding efforts.
The vision for this guiding coalition is to 1) set up a repository for source code, data, benchmarks, and documentation, 2) encourage good coding practices, 3) review and comment on the models and data submitted, 4) test, use and improve the code, 5) propose and collect anonymized real data, 6) attract talent and support to the effort, and 7) mentor those getting started. Those interested to add their time and talent to the cause may publish their results through peer-reviewed literature. Several online meetings are planned to create this coalition, establish a charter, and layout the guiding principles.
Multiple support avenues are proposed to sustain the effort such as: annual user group meetings, create a SPE Technical Section, and initiating a Joint Industry Program (JIP). The Open Porous Media Initiative is just one example of how this could be organized and maintained.
As a starting point, this paper reviews existing published drilling models and highlights the similarities and differences for commonly used drillstring hydraulics, dynamics, directional, and bit-rock interaction models.
The key requirements for re-usability of the models and code are: 1) The model itself must be available as open source, well documented with the objective and expected outcomes, include commented code, and shared in a publicly available repository which can be updated, 2) A user's guide must include how to run the core software, how to extend software capabilities, i.e., plug in new features or elements, 3) Include a "theory" manual to explain the fundamental principles, the base equations, any assumptions, and the known limitations, 4) Data examples and formatting requirements to cover a diversity of drilling operations, and 5) Test cases to benchmark the performance and output of different proposed models.
In May 2018 at "The 4th International Colloquium on Non-linear dynamics and control of deep drilling systems," the keynote question was, "Is it time to start using open source models?" The answer is "yes".
Modeling the drilling process is done to help drill a round, ledge free hole, without patterns, with minimum vibration, minimum unplanned dog legs, that reaches all geological targets, in one run per section, and in the least time possible.
An open source repository for drilling will speed up the rate of learning and automation efforts to achieve this goal throughout the entire well execution workflow, including planning, BHA design, real-time operations, and post well analysis.
|File Size||2 MB||Number of Pages||38|
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