Stuck pipe prediction and avoidance: A convolutional neural network approach

SPE/IADC Drilling Conference, Proceedings

Volumn , Issue , 2006, Pages 161-166

  Siruvuri, C ^a   Nagarakanti, S ^b   Samuel, R ^a  

^a HALLIBURTON   (United States)

^b Nabors Industries ^*

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION; BOREHOLES; DRILLING EQUIPMENT; NEURAL NETWORKS; RISK ASSESSMENT; UNDERWATER DRILLING;

CONNECTION TOPOLOGY; STUCK PIPES; WELLBORE INSTABILITY;

PIPE;

EID: 33645290915     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.2118/98378     Document Type: Conference Paper

References (8)

1. Neal Adams, Member SPE-AIME, Prentice and Records Enterprises, Inc. "A Field Case Study of Differential-Pressure Pipe Sticking", SPE 6716, 1977.
2. R.R. Weakley, Chevron Services Inc. "Use of Stuck Pipe Statistics to Reduce the Occurrence of Stuck Pipe", SPE 20410, 1990.
3. A.P. Wisnie, Conoco Inc., and Zheiwei Zhu, University. Of Southwestern Louisiana. "Quantifying Stuck Pipe Risk in Gulf of Mexico Oil and Gas Drilling", SPE 28298, 1994.
4. J.A. Howard, Enertech Engineering & Research Co., and S.B. Glover, Enertech Europe. "Tracking Stuck Pipe Probability While Drilling", SPE 27528, 1994.
5. M.W.Biegler, Exxon Production Research Co., and G.R. Kühn, Exxon Co USA.., "Advances in Prediction of Stuck Pipe Using Multivariate Statistical Analysis", SPE 27529, 1994.
6. Commercial Neural Network Software, "Neuro Solutions Version 4.0".http://www.nd.com.
7. Robert J. Boomer, Texaco Exploration and Production Inc., "Predicting Production Using a Neural Network", SPE 30202, 1995.
8. E&P Exchange, "Neural Network: What It Can Do For Petroleum Engineers".