Large-Scale Deployment of a Closed-Loop Drilling Optimization System: Implementation and Field Results
- Stephen W. Lai (Pason Systems) | James Ng (Pason Systems) | Aaron Eddy (Pason Systems) | Sergey Khromov (Pason Systems) | Dan Paslawski (Pason Systems) | Ryan van Beurden (Pason Systems) | Lars Olesen (Pason Systems) | Gregory S. Payette (ExxonMobil Upstream Research Company) | Benjamin J. Spivey (ExxonMobil Upstream Research Company)
- Document ID
- Society of Petroleum Engineers
- IADC/SPE International Drilling Conference and Exhibition, 3-5 March, Galveston, Texas, USA
- Publication Date
- Document Type
- Conference Paper
- 2020. IADC/SPE International Drilling Conference and Exhibition
- Drilling, Mechanical Specific Energy, Automation, Closed-Loop, Optimization
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- 267 since 2007
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On a land-based rig, the driller has many responsibilities and is rarely able to adjust the main process controls, WOB and RPM, on a continuous basis. The result is sub-optimal drilling and longer spud-to-TD time than necessary. Automatic, closed-loop optimization removes this burden and results in better and more consistent drilling performance. In this paper, a closed-loop drilling optimization system is presented with results from over 1700 wells in the field.
The closed-loop system builds on industry-proven advisory technology and is designed uniquely for petroleum drilling. Since formation characteristics can change rapidly with depth, a fast optimization algorithm based on input signal dithering is used to continually adjust drilling parameters to search for the highest possible ROP and lowest possible MSE. Drilling dysfunctions, such as stick-slip and formation stringers, are treated as discrete time events and mitigated using software protocols triggered by accurate detection algorithms. Also, operation of the inner loop autodriller is of critical importance and controlled using a specialized set of autodriller management protocols.
Over the past 2 years, the system has been deployed on over 270 rigs for construction of over 1700 land wells in North America. One of the main deployment challenges was the need for full organizational buy-in from both rig and office personnel. Another major challenge was the need for parameter limit roadmaps which define reasonable, but non-conservative, optimization limits to be used during the drilling of each well. Drilling performance on approximately 90 wells was analyzed and compared to equivalent offset wells. The result was an average ROP improvement of 6.5% and 7.6% in the vertical and lateral sections, respectively. A case study is presented highlighting improved ROP when the optimization system was used.
|File Size||1 MB||Number of Pages||19|
Pink, T., Bruce, A., Kverneland, H., and Applewhite, B. 2012. Building an Automated Drilling System Where Surface Machines are Controlled by Downhole and Surface Data to Optimize the Well Construction Process. Paper presented at the SPE/IADC Drilling Conference and Exhibition, San Diego, 6-8 Mar. SPE-150973-MS.