Geoscience
Computational and statistical approaches to characterizing subsurface systems and representing geological uncertainty.
Geological modeling · Geostatistics · Bayesian inversion · Data assimilation
Research at APCORE
Four disciplines. One connected inquiry.
Computation, probability, and statistics provide a shared foundation for questions that cross disciplinary boundaries.
Research domains.
Petroleum Engineering
Models of reservoirs, wells, and production systems that connect physical behavior with development and operating decisions.
Reservoir simulation · Production forecasting · History matching · Surrogate modeling
Petroleum Economics
Economic and fiscal analysis integrated with technical modeling, including uncertainty in production, costs, and commodity prices.
Fiscal systems · Project economics · Econometrics · Portfolio evaluation
Quantitative Decision Analysis Under Uncertainty
Mathematical and statistical frameworks for comparing actions through their uncertain technical and economic consequences.
Bayesian decision theory · Monte Carlo simulation · Uncertainty quantification · Value of information
Our approach
From physical understanding
to informed decisions.
We connect observations, inference, computational models, and economics within an explicit representation of uncertainty.
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01
Physical System
Define the geological, engineering, or economic system.
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02
Data
Bring together observations and available evidence.
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03
Inference
Learn about uncertain parameters and hypotheses.
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04
Model
Represent the system computationally.
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05
Uncertainty
Quantify and propagate possible outcomes.
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06
Economics
Evaluate the economic consequences.
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07
Decision
Compare alternative actions under uncertainty.
Uncertainty runs through the analysis. Economics is part of the model, and new evidence can change the decision.
Research questions
The questions that
guide the work.
Representative questions within APCORE’s research agenda.
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Q.01
How should geological uncertainty be propagated into production forecasts and project economics?
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Q.02
What information from a new appraisal well would materially change a development decision?
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Q.03
How should fiscal systems be evaluated across uncertain technical and economic scenarios?
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Q.04
How can artificial intelligence automate analytical workflows and support decision-making under uncertainty?