Application of Machine Learning Methods in Modeling the Loss of Circulation Rate while Drilling Operation
Author:
Affiliation:
1. Department of Petroleum Engineering, King Fahd University of Petroleum &Minerals, Dhahran 31261, Saudi Arabia
2. Drilling Technology Division, EXPEC Advanced Research Center, Dhahran 34466, Saudi Arabia
Publisher
American Chemical Society (ACS)
Subject
General Chemical Engineering,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/acsomega.2c00970
Reference48 articles.
1. An Analysis and the Control of Lost Circulation
2. Ghalambor, A.; Salehi, S.; Shahri, M. P.; Karimi, M. Integrated Workflow for Lost Circulation Prediction, Presented at the SPE International Symposium and Exhibition on Formation Damage Control, Society of Petroleum Engineers, Lafayette, Louisiana, USA, Feb 26–28, 2014.
3. Schafer, D. M.; Loeppke, G. E.; Glowka, D. A.; Scott, D. D.; Wright, E. K. In An Evaluation of Flowmeters for the Detection of Kicks and Lost Circulation During Drilling, Presented at the IADC/SPE Drilling Conference, New Orleans, Louisiana, Feb 18–21, 1992.
4. Beda, G.; Carugo, C. In Use of Mud Micro loss Analysis While Drilling to Improve the Formation Evaluation in Fractured Reservoir, Presented at the SPE Annual Technical Conference and Exhibition held in New Orleans, Louisiana, Sept 30–Oct 3, 2001.
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