Sophisticated ROP prediction technologies based on neural network delivers accurate drill time results

Society of Petroleum Engineers - IADC/SPE Asia Pacific Drilling Technology Conference 2010

Volumn , Issue , 2010, Pages 100-108

  Moran, David ^a   Ibrahim, Hani ^a   Purwanto, Arifin ^a   Osmond, Jerry ^b  

^a Smith International ^*  (United States)

^b HESS CORPORATION   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; DRILLING DATA; DRILLING PERFORMANCE; ENGINEERING DECISIONS; HIGH QUALITY; HOLE SIZE; MUD PROPERTIES; NETWORK CAPABILITY; OFFSET WELLS; RATE OF PENETRATION; ROCK STRENGTH; SIMPLE ALGORITHM; WELL PLANNING;

BOREHOLES; ENGINEERS; FORECASTING; INNOVATION; LITHOLOGY; MATHEMATICAL OPERATORS; OIL WELL DRILLING; TECHNOLOGY; WELLS;

NEURAL NETWORKS;

EID: 79953119331     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

1. Marana, A.N., Guilherme, I.R., Papa, J.P., Ferreira, M.V.D., Miura, K., Torres, F.A.C: "An Intelligent System to Detect Drilling Problems Through Drilled Cuttings Return Analysis" paper IADC/SPE 128916 presented at the IADC/SPE Drilling Conference and Exhibition, New Orleans, Louisiana, 2-4 February 2010.
2. Fruhwirth, R.K., Thonhauser, G., Mathis, W.: "Hybrid Simulation Using Neural Networks To Predict Drilling Hydraulics in Real Time" paper SPE 103217 presented at the SPE Annual Technical Conference and Exhibition, San Antonio, Texas, 24-27 September 2006.
3. Dashevskly, D., et al.: "Application of Neural Networks for Predictive Control in Drilling Dynamics" paper SPE 56442 presented at the SPE Annual Technical Conference and Exhibition, Houston, Texas 3-6 October 1999.
4. Karri, V: "RBF Neural Network for Thrust and Torque Predictions in Drilling Operations" Computational Intelligence and Multimedia Applications 1999, ICCIMA '99 Proceedings, Third International Conference 23-26 September, 1999, pp. 55-59.
5. Arbogast, J.S., Franklin, M.H.: "Artificial Neural Networks and High-Speed Resistivity Modeling ... Powerful New Exploration and Development Tools" Hart's Petroleum Engineer International Magazine, May/June, 1999.
6. Stoisits, R.F., Crawford, K.D., MacAllister, D.J., McCormack, M.D., Lawal, A.S., Ogbe, D.O.: "Production Optimization at the Kuparuk River Field Utilizing Neural Networks and Genetic Algorithms" paper SPE 52177 presented at the Mid-Continent Operations Symposium, Oklahoma City, Oklahoma, 28-31 March, 1999.
7. Boomer, R.J.: "Predicting Production Using a Neural Network (Artificial Intelligence Beats Human Intelligence)" paper SPE 30202 presented at the SPE Petroleum Computer Conference, Houston, Texas, 11-14 June, 1995.
8. Lee, et al.: "An Abductive Network for Predicting Tool Life in Drilling" IEEE/IAS Conference on Industrial Automation and Control: Emerging Tech 1995, 22-27 May 1995, pp. 717-722.
9. th Annual Technical Conference and Exhibition, New Orleans, Louisiana, 25-28 September 1994.
10. Mogaghegh, S., Arefi, R., Ameri, S., Rose, D.: "Design and Development of An Artificial Neural Network for Estimation of Formation Permeability" paper SPE 28237 presented at the SPE Petroleum Computer Conference, Dallas, Texas, July 31-August 3 1994.
11. Rogers, J.D., Guffey, C.G., Oldham, W.J.B.: "Artificial Neural Networks for Identification of Beam Pump Dynamometer Load Cards paper SPE 20651 presented at the SPE Annual Technical Conference and Exhibition, New Orleans, Louisiana, 23-26 September 1990.
12. Arehart, R.A.: "Drill Bit Diagnosis Using Neural Networks" paper SPE 19558 presented at the SPE Annual Technical Conference and Exhibition, San Antonio, Texas, 8-11 October 1989.
13. Moran, D.P., Robertson, J.A.: "Method for Determining Preferred Drill Bit Design Parameters and Drilling Parameters Using a Trained Artificial Neural Network, and Methods for Training the Artificial Neural Network" US Patent 6,424,919 B1, July 23, 2002.
14. Guerrero, C.A., Kull, B.J.: "Deployment of an SeROP Predictor Tool for Real-Time Bit Optimization" paper SPE/IADC 105201 presented at the SPE/IADC Drilling Conference, Amsterdam, Netherlands, 20-22 Feb 2007.
15. Caicedo, H., Calhoun, W.M., Ewy, R.T., "Unique ROP Predictor Using Bit-specific Coefficient of Sliding Friction and Mechanical Efficiency as a Function of Confined Compressive Strength Impacts Drilling Performance" paper SPE/IADC presented at the SPE/IADC Drilling Conference, Amsterdam, The Netherlands, 23-25 February 2005.
16. Cooper, G.A., Hatherly, P.: "Prediction of Rock Mechanical Properties From Wireline Data And Their Use in Drilling Simulation" paper SPE 83509 presented at the SPE Western Regional/AAPG Pacific Section Joint Meeting, Long Beach California, 19-24 May 2003.
17. Bilgesu, H.I., Tetrick, L.T., Mohaghegh, S.: "A New Approach for the Prediction of Rate of Penetration (ROP) Values" paper SPE 39231 presented at the SPE Eastern Regional Meeting, Lexington, Kentucky, 22-24 Oct 1997.
18. Bratli, R.K., Hareland, G., Stene, F., Dunsæd, G.W., Gjelstad, G.: "Drilling Optimization Software Verified in the North Sea" paper SPE 39007 presented at LACPEC, Rio De Janeiro, Brazil, August 30-September 2 1997.