Rapid Development of Real-Time Drilling Analytics System
- Dingzhou Cao (Anadarko Petroleum Corporation) | Chad Loesel (Anadarko Petroleum Corporation) | Sanjay Paranji (Anadarko Petroleum Corporation)
- Document ID
- Society of Petroleum Engineers
- IADC/SPE Drilling Conference and Exhibition, 6-8 March, Fort Worth, Texas, USA
- Publication Date
- Document Type
- Conference Paper
- 2018. IADC/SPE Drilling Conference and Exhibition
- 1.6 Drilling Operations, 3 Production and Well Operations
- Real-Time Drilling Analytics System, Machine Learning, Drilling Optimization, Advanced Analytics, Artificial Intelligence
- 3 in the last 30 days
- 639 since 2007
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This paper serves to provide a technical overview of the Real-Time Drilling (RTD) analytics system currently developed and deployed. It also serves to share practices used in managing the RTD analytics project which have resulted in the efficient delivery of work products. By employing the novel and agile development approach on the RTD project, the design to production time has been faster and has cost much less compared to a more traditional multi-year effort and cost intensive RTD development project. Within three months, for proof of concept (PoC) purpose, an RTD analytics system with two analytics modules was built from scratch and placed online in production. This real-time decision-support tool has been fully accepted by the operations team and has become a powerful tool for daily well operations. After eleven months as this paper was drafted, this system has four analytic modules online for production and three analytic modules under development; it is expected that more new modules will be added to the system on a regular basis.
|File Size||1 MB||Number of Pages||13|
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