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Volumn , Issue , 2003, Pages 5167-5175

Continuous Rock Strength Measurements on Core and Neural Network Modeling Result in Significant Improvements in Log-Based Rock Strength Predictions Used to Optimize Completion Design and Improve Prediction of Sanding Potential and Wellbore Stability

Author keywords

[No Author keywords available]

Indexed keywords

COMPRESSIBILITY; FAILURE (MECHANICAL); MATHEMATICAL MODELS; NEURAL NETWORKS; OIL WELL CASINGS; OPTIMIZATION; PETROGRAPHY; PETROLEUM RESERVOIRS; ROCK MECHANICS; STRENGTH OF MATERIALS; WELL COMPLETION;

EID: 1142300680     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.2118/84558-ms     Document Type: Conference Paper
Times cited : (19)

References (15)
  • 2
    • 84866429657 scopus 로고
    • Assessment of rock strength properties from cutting tests: Preliminary experimental evidence
    • Brussels
    • E. Detournay, A. Drescher, P. Defourny, and D. Fourmaintraux. Assessment of rock strength properties from cutting tests: Preliminary experimental evidence. In Chalk and Shales Colloquium, Brussels, 1995.
    • (1995) Chalk and Shales Colloquium
    • Detournay, E.1    Drescher, A.2    Defourny, P.3    Fourmaintraux, D.4
  • 7
    • 84875778049 scopus 로고    scopus 로고
    • Continous Scratch Testing on Cores Allows Effective Calibration of Log-Derived Mechanical Properties for Use in Sanding Prediction Evaluation
    • Paper No. 78157
    • R Suarez-Rivera, J. Stenebraten and F. Dagrain. Continous Scratch Testing on Cores Allows Effective Calibration of Log-Derived Mechanical Properties for Use in Sanding Prediction Evauation. OilRocks, 2002. Paper No. 78157.
    • (2002) OilRocks
    • Suarez-Rivera, R.1    Stenebraten, J.2    Dagrain, F.3
  • 8
    • 1142310123 scopus 로고    scopus 로고
    • Evaluation of Shale Drilling Fluid Compatibility via Scratch Testing
    • Paper No. 78161
    • J. Stenebraten, R Suarez-Rivera and F. Dagrain, Evaluation of Shale Drilling Fluid Compatibility via Scratch Testing. OilRocks, 2002. Paper No. 78161.
    • (2002) OilRocks
    • Stenebraten, J.1    Suarez-Rivera, R.2    Dagrain, F.3
  • 9
    • 0028667386 scopus 로고
    • Field and Laboratory Verification of Sand-Production Prediction Models
    • December
    • N. Morita. Field and Laboratory Verification of Sand-Production Prediction Models. SPE Drilling and Completion, December 1994.
    • (1994) SPE Drilling and Completion
    • Morita, N.1
  • 10
    • 85086948524 scopus 로고
    • Neural Network Training for Reservoir Characterization of Litho facies
    • 2003, Stavanger, Norway June. Abstract,
    • th Conference and Exibition, Stavanger, Norway June 2003. Abstract, Z-99:13-23, 1992
    • (1992) th Conference and Exibition , vol.Z-99 , pp. 13-23
    • Uden, R.C.1    Smith, M.2    Hubert, L.3
  • 12
    • 84888960966 scopus 로고    scopus 로고
    • Study of Borehole Stability prediction before drilling by Neural Network
    • Trondheim, SPE 47196
    • Mian Chen and Yan Jin. Study of Borehole Stability prediction before drilling by Neural Network. SPE/ISRM Eurock'98, Trondheim, 1998, (SPE 47196).
    • (1998) SPE/ISRM Eurock'98
    • Chen, M.1    Jin, Y.2
  • 14
    • 84888838027 scopus 로고    scopus 로고
    • Wellbore stability in deep water - Handling geomechanical uncertainty
    • AADE#01-NC-HO-43, "Drilling Technology-The Next 100 Years"Houston, TX
    • Moos, D., Wellbore stability in deep water - Handling geomechanical uncertainty, AADE#01-NC-HO-43, AADE 2001 National Drilling Conference, "Drilling Technology-The Next 100 Years", Houston, TX
    • AADE 2001 National Drilling Conference
    • Moos, D.1
  • 15
    • 0031655006 scopus 로고    scopus 로고
    • Applications of Probabilistic Techniques for Assessing Sand Production and Wellbore Stability Risks
    • Trondheim, SPE 47334
    • McLellan P.J., C.D.Hawkes. Applications of Probabilistic Techniques for Assessing Sand Production and Wellbore Stability Risks. SPE/ISRM Eurock'98, Trondheim, 1998. (SPE 47334)
    • (1998) SPE/ISRM Eurock'98
    • McLellan, P.J.1    Hawkes, C.D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.