Technical Session 10: Artificial Intelligence

Thursday, 6 August

1400 - 1530

Orchid Room, Level 1

Technical Session

Session Chairpersons

Mark Rayfield - Baker Hughes

Matt Regan, VP Business Development - Exebenus

1420-1440 233161
Advanced Real Time and Multi Physics Engineered Bullheading of SacTi Resin for Sand Control in Ultra Complex Swamp Gas Wells, Mahakam Field, Swamp Area, Indonesia

R.N. Aditya, A. Suhartanto, A.D. Alzhafran, C. Rinaldy, PT Pertamina Hulu Mahakam; S.L. Nasution, I. Danu, K. Montazeri, PT Nasaktion Solusi Indonesia
1440-1500 233074
Intelligent Edge-Enabled Real-Time Drilling Optimisation with Machine Learning and Multi-Domain Data Fusion

M. Omer, M. Duarte Ballesteros, Weatherford
1500-1520 233133
Achieving Zero Stuck Pipe Incidents in Horizontal Wells Through AI-Based Real-Time Risk Mitigation and ROP Optimisation: A Story from BHA Graveyard in Offshore East Java Indonesia

Y. Yusicha, M. Akbar, J. Tobing, F. Ardhiansyah, T. Setiawan, PETRONAS Carigali Ketapang II Ltd; H. Setiono, SKK Migas; N. Hanafiah, M. Regan, Exebenus
Alternate 233083
Governing Force Transitions in Mature Waterfloods: A Field Case Study in Diagnostic Integration and Intervention Sequencing

A. Aladasani, Independent; A. Ameen, J. Akbar, Q. Okasha, Kuwait Oil Company
Alternate 233089
Physics-informed Machine Learning Model For Real-time Prediction And Optimization Of Annular Pressure Loss In HPHT Wells

S. Kumar, A. Sharma, A. Raj, S.K. PRASAD, Rajiv Gandhi Institute of Petroleum Technology
Alternate 233045
Ai/ml-based Algorithm For Enhancing Drilling Efficiency, Optimal Hole Cleaning, And Ilt Mitigation In Highly Deviated Boreholes

R. Ashena, Oklahoma Department of Commerce
Alternate 233155
Machine Learning-Based Rate of Penetration Prediction Using Multi-well Field Data in Deviated Wells

N. Ahmed, R. Ahmed, University of Oklahoma; V. Soriano, UNNA Energía Peru; R. Elgaddafi, Australian University – Kuwait

Technical Programme

Technical Session 10: Artificial Intelligence

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