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Merbau 2 Foyer, Level 1260 mins
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Merbau 2, Level 1260 mins
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Merbau 2 Foyer, Level 1230 mins
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Merbau 2, Level 1290 mins
- Panel Session
Our panel of experts will explore the latest techniques, emerging technologies, and best practices shaping the future of data modelling in the digital era. This session promises valuable insights and practical strategies for leveraging digitalisation to enhance your data modelling efforts.
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Merchants, Level 1360 mins
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90 mins
- Technical Session
Explore crucial techniques and methodologies employed to understand subsurface formations and forecast reservoir behaviour. Learn from industry experts as they discuss the latest advancements in static modelling and reservoir characterisation, covering topics such as geological modelling, petrophysics, and reservoir simulation.
This session will provide perspectives into the key principles and practices driving effective reservoir characterisation and static modelling.
Session Managers: Muhammad Nazam Samsuri and Satyashis Sanyal, PETRONAS
Disscussion Leaders:
- Proposal for Mature Field - An Integrated Characterisation and Simulation Field Life Approach by Azmukiff Muhammed Kifli, Vestigo Petroleum Sdn. Bhd.
- Innovative Strategies for Accelerated Production Using Multi - Realisation Geological and Simulation Models by Mohamed Samy, SLB
- Optimising Project Delivery: Adaptive Modeling Approach for Efficiency with Limited Resources by Izzuddin Jamaludin, Hibiscus Pertroleum
- Static/Dynamic Reservoir Properties from 3D Seismic Volumes using new Technology by Wesley Emery, iRPM Pty. Ltd.
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15 mins
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Merbau 2, Level 1290 mins
- Technical Session
The reliability of reservoir models in predicting future performance is crucial for investment decisions in field and storage development projects. Flow complexities in porous media, including data availability and resolution, necessitate continuous integration between dynamic data analysis, modelling, and surveillance.
This session will explore the mutual influence of modelling and surveillance in creating predictive subsurface models. Discover innovative advancements in data analysis and dynamic modelling to identify critical surveillance activities and develop strategies for addressing uncertainties. Additionally, learn how surveillance data enhances the reliability of dynamic models through seamless integration workflows.
Session Managers: Chander Sekhar Singh, PETRONAS; Jazael Ballina, Baker Hughes
Discussion Leaders:
- Leveraging Data Analytics, Map-Based Study and MBAL for Dynamic Model History Matching in a Highly Compartmentalised System with Cross-Fault Communication by Gunajit Das, Dialog Energy Sdn. Bhd.
- Dynamic Model Improvement Through Well and Skin Modification to Reduce Production and Allocation Uncertainties In Viscous Multi-stack Reservoirs by Umar Islam M Dimyati, PETRONAS Carigali Sdn. Bhd.
- Achieving Excellence in Mature Gas Field Development: Insights from Arun Field's Development Scenario Selection by Setyo Nurretno Tri Buwono, Pema Global Energi
- Dynamic Modeling under Uncertainty Coupled with Surveillance Technology Lead to Informed Decision for Mature Field Redevelopment by Muhammad Hafiz Khairul Azmi, JX Nippon Oil & Gas Exploration (Malaysia) Limited
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10 mins
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Merbau 2, Level 1290 mins
- Technical Session
Integrated Asset Modelling aims to enhance asset value by boosting production efficiency and cutting operational costs through the comprehensive integration of wells, reservoirs, facilities, and commercial aspects.
The session will explore various disciplines impacting asset management and optimisation, including recent advancements in integrated asset models, considerations of operating envelopes in onshore and offshore fields, debottlenecking of wells and facilities, optimisation of water and gas injection, implementation of new technologies for asset optimisation, and the role of data analytics and machine learning in asset management.
Session Managers: Eghbal Motaei, PETRONAS Carigali Sdn. Bhd.; Nader Ghadami, Computer Modelling Group
Discussion Leaders:
- Advancing Field E’s Lifecycle: Leveraging Integrated Network Modeling for Hub Efficiency and Future Field Integration by Mohammad Zulfiqar Usop & Nurul Asyikin Mohd Radzuan, PETRONAS Carigali Sdn. Bhd.
- Integrated Production System Modelling (IPSM) for long-term Production Forecasting and Optimisation for a Deepwater Asset in Malaysia by Shodiq Khoirur Rofieq, Computer Modelling Group Ltd.
- Integrated Asset Modelling: Advance Modelling of a Legacy Model for Optimising Oil Field Management by Syahida Shahardin, Vestigo Petroleum Sdn. Bhd.
- Enhancing Production Capacity and Performance Optimisation in a High-Temperature Gas Field through Integrated Asset Management & Risk Assessment by Karim Ahmed, PETRONAS
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Merchants, Level 13150 mins
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Merbau 2 Foyer, Level 1260 mins
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Merbau 2, Level 12120 mins
- Technical Session
In recent years, the interpretation and inversion of data for detailed quantitative reservoir characterisation have advanced significantly through various technologies and methods. Important progress has been made in predicting reservoir parameters, analysing fractures and faults, employing machine learning for automatic data interpretation, and evaluating 3D reservoir heterogeneity. Despite these advances, many challenges need to be addressed.
This session will discuss and uncover new technologies and advanced modelling techniques aimed at improving the exploration and development of hydrocarbon reservoirs, optimising drilling, and completion practices.
Session Managers: Prasanna Chidambaram, PETRONAS Carigali Sdn. Bhd.; Mohammad Oggi Refani, Rock Flow Dynamics
Discussion Leaders:
- Exploring Amazonas Method as Possibilities to Improve Reservoir Modelling Prediction in a Subsurface Gas Storage Facility by Anton Yurievich Degterev and Mukhriz Mubin, Rock Flow Dynamics
- Leveraging Thermal Simulation Coupled with 3D Geomechanics for CO2 Storage Capacity Study of a Sarawak Field in Malaysia by Kireth Kaur, PETRONAS Carigali Sdn. Bhd.
- Energy Recovery from Geothermal Reservoirs in the Baram Basin, Sarawak: Advanced Numerical Reservoir Simulation Approach with CO2 Utilisation by Jazael Ballina Ruvalcaba, Baker Hughes
- Pore-Network Modelling an Alternative Reservoir Simulator for Characterising Reservoir Behavior and Reservoir Performance by Shahrul Nizam Hassan, Universiti Teknologi Malaysia
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Merbau 2 Foyer, Level 1215 mins
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Merbau 2, Level 12120 mins
- Technical Session
Join industry experts as they explore how these elements intricately influence decision-making processes within complex systems. Discover innovative strategies for tackling uncertainty while refining models to improve predictive accuracy. Investigate the synergy of integrating static and dynamic modelling techniques to develop more resilient and adaptable systems.
This session will provide valuable insights into navigating uncertainty and maximising efficiency in modelling practices.
Session Managers: Akram Omar, Rock Flow Dynamics; Harshad Dixit, Halliburton
Discussion Leaders:
- Enhanced Uncertainty Quantification Of Reservoir Simulation Models Through Synergistic Integration Of Particle Swarm Optimisation With Ensemble Kalman Smoothing by Muhammad Kathrada, Baker Hughes
- Amazonas based Multi-scenario Modeling for Assisted History Matching Process: A Case Study by Edo Pratama & Hanis Atiqah, Rock Flow Dynamics
- A 360-Degree Study on Anisotropy in Fracture Networks and Its Implication on Fluid Flow by Ajay Kumar Sahu, Directorate General of Hydrocarbons, India
- De-risking Uncertainties for Optimal CO2 Storage Containment: An Integrated Reservoir, Well, and Surface Network Approach by Edo Pratama, Rock Flow Dynamics
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Merchants, Level 1360 mins
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Merbau 2, Level 12120 mins
- Technical Session
This session will examine advancements in reservoir modelling and simulation workflows driven by digitalisation, including the application of cutting-edge technologies such as 3D scanning and machine learning for building more accurate and detailed reservoir models. Participants will explore how cloud-based workflows enable collaborative reservoir simulation and real-time decision-making, as well as the integration of digital applications and workflows across multiple disciplines.
Session Managers: Samita Santoshini, SLB; M Izzat A Rahman, PETRONAS Carigali Sdn.Bhd.
Discussion Leaders:
- Digital Solutions for Reservoir History Matching Utilising Agile Reservoir Modeling and Machine Learning Technique by Firdaus Kamal, SLB
- Application of Real Time Petrophysics by via Artificial Intelligence for Open Hole Standalone Screen Completion Strategy in Multi-Stack Reservoirs Field by Muhammad Redha Fadzil, PETRONAS
- Successful Application of Combined Data-Driven Methods for the Optimisation of Waterflooding Operations by Firdaus Kamal, SLB
- Integrated Surveillance System for Decision-Making in Reservoir and Oil Production Scenarios by Norbashinatun Salmi M Nordin, PETRONAS
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Merbau 2 Foyer, Level 1215 mins
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Merbau 2, Level 1230 mins