Thursday, August 20, 2026, 05:00 PM - 07:30 PM TH
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SPE Thailand Section
12 January 2026
SPE Thailand Monthly Technical Meeting
Thursday, August 20, 2026 5:00-7:30PM
The Landmark hotel, Sukhumvit, Bangkok
" The Model That Builds Itself: Agentic AI in Geoscience Modeling "
Ivan Teguh Andhika Praja Rock Flow Dynamics
Entrance Fee:
SPE Member with registration – 500 THB
Non-Member with registration – 1,000 THB
No registration (Walk in) – 1,500 THB
SPE Student chapter with registration – Free of charge
Consider joining SPE membership "click"
Click here to register
Registration will be closed on Wednesday 19 August 2026 at 12:00pm
( SPE Thailand reserves right to close the registration upon reaching venue capacity which may be before the above date/time)
Student Registration Only
*** SPE student chapter member can register and enter the meeting free of charge. SPE will not serve alcohol beverage to student chapter member
Schedule:
5:00pm Door open for Registration & Networking
5:45pm Meeting room & buffet line opened, participant to start seating
6:15pm Welcome Remarks & Speaker Introduction / YouTube live start
6:20pm Speaker Talk and Q&A
7:20pm Lucky Draws & Closing Remarks
Abstract:
Static geomodelling is constrained not only by algorithms, but also by serial handoffs among data conditioning, interpretation, gridding, facies modeling, petrophysical property modeling, volumetrics, and quality control. Each iteration can require repeated software interaction, manual transfer of assumptions, and specialist review. This presentation investigates whether agentic artificial intelligence (AI) can transform that fragmented sequence into a traceable, human-governed modeling loop without displacing geological judgment.
The architecture separates responsibilities: a large language model interprets intent and plans the work; Model Context Protocol (MCP) exposes structured software tools and returns project context; and tNavigator performs the deterministic calculations and stores native project objects. In the demonstrated static-model case, the agent inventories available data and functions, then constructs a workflow for machine-learning-assisted facies interpretation, facies-proportion mapping, horizon interpolation, stratigraphic gridding, well-log blocking, sequential indicator facies simulation, and facies-conditioned sequential Gaussian porosity simulation. It recommends interpolation and variogram settings, invokes the workflow, evaluates intermediate outputs, and assembles spatial and distributional quality-control diagnostics. Human checkpoints retain authority over geological concepts, parameter acceptance, and final validation.
The case demonstrates how workflow-assembly and iteration cycles can be shortened while preserving an inspectable chain from user objective to parameters, software actions, results, and assumptions. More importantly, it reframes AI from a prediction-only tool into an execution layer that can plan, act, evaluate, and revise within defined technical guardrails. Recent tNavigator advances, including a local MCP server, multi-agent collaboration, AI-assisted workflow editing, and an integrated static-to-dynamic environment, provide a practical foundation for extending this pattern to uncertainty ensembles, assisted history matching, reservoir simulation, and field-development scenario screening. The intended outcome is not an autonomous geological truth, but faster generation and testing of technically defensible alternatives, enabling geoscientists and engineers to focus on uncertainty, risk, and decisions
Biography:
Ivan Praja is Geology Team Lead at Rock Flow Dynamics Southeast Asia, with more than 12 years of experience in subsurface characterization and integrated reservoir studies. His work focuses on geological modeling, geomechanics, uncertainty analysis, and static-to-dynamic reservoir workflows. He holds an MSc in Integrated Petroleum Geoscience from the University of Aberdeen
Upcoming meetings:
24 September 2026: SPE Thailand Season Opening and E&P Awards announcement
Society of Petroleum Engineers - Thailand Section
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Bangkok, Thailand