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Artificial Neural Network Model for Predicting Wellbore Instability · Peerford

conference paper · Publication · 2016

Artificial Neural Network Model for Predicting Wellbore Instability

Ekom E. Okpo, A. Dosunmu, Baridor S. Odagme

SPE Nigeria Annual International Conference and Exhibition

Closed access
World top 10%

Go to the publisher 10.2118/184371-ms

Citations: 26from other works
Field-weighted impact: 3.861.00 is the world average for its field and year
Among its field: Top 10%by citations, against works of its field and year
Authors: 3from 1 institution

Authors

3 authors

Ekom E. OkpoFirst author
- University of Port Harcourt (NG)
as printed: E. E. Okpo
A. Dosunmu
- University of Port Harcourt (NG)
Baridor S. OdagmeSenior author
- University of Port Harcourt (NG)
as printed: B. S. Odagme

Development goals

14Life below water

Country

Nigeria

Fields

A work can sit in several, each with a score

Drilling and Well EngineeringTopic
Hydraulic Fracturing and Reservoir AnalysisTopic
Reservoir Engineering and Simulation MethodsTopic