Geoscience
Computational and statistical approaches to characterizing subsurface systems and representing geological uncertainty.
An applied research think tank
APCORE brings together physics, data, probability, and economics to address upstream oil and gas problems through rigorous computational research.
FIG. 01 / THE RESEARCH LENS
01 Physical system
02 Probabilistic models
03 Economic consequences
01 / About
Applied Petroleum Computational Research and Economics
APCORE is an applied research think tank connecting geoscience, petroleum engineering, petroleum economics, and quantitative decision analysis under uncertainty. Our starting point is an upstream problem, the decision it involves, and the evidence needed to evaluate the alternatives.
02 / Research
Computation, probability, and statistics provide a shared foundation for questions that cross disciplinary boundaries.
Computational and statistical approaches to characterizing subsurface systems and representing geological uncertainty.
Models of reservoirs, wells, and production systems that connect physical behavior with development and operating decisions.
Economic and fiscal analysis integrated with technical modeling, including uncertainty in production, costs, and commodity prices.
Mathematical and statistical frameworks for comparing actions through their uncertain technical and economic consequences.
03 / Research software
Computational tools for exploring upstream economics, data, and the questions behind a decision.
01 Petroleum economics
Evaluate upstream project economics under production sharing contracts. Explore how fiscal terms and project assumptions affect economic outcomes.
02 Data & knowledge analysis
Explore Indonesian oil and gas reserves and resources through natural-language questions. Connect analytical questions with the underlying data.
04 / Our approach
We connect observations, inference, computational models, and economics within an explicit representation of uncertainty.
Physical understanding, evidence, and computational models connect with uncertainty and economics to inform a decision.
Uncertainty runs through the analysis. Economics is part of the model, and new evidence can change the decision.