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Optimization & Uncertainty Solutions
Overview:
The Opus Terra™ toolbox aims to improve your Petrel* RE workflows and to bypass
time consuming reservoir simulations using various tools (proxy and optimizer).
For example, Opus Terra can be use for :
- History matching of all production data (Pressure, Water-cut, ...).
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Optimization problems: Optimization of the placement of wells, optimization
of production rates.
Useful links:
Features:
OpusTerra’s tools are fully integrated into your workflow Petrel RE, which allows
performing History matching studies without using external software.
Opus Terra improves existing functionality of Petrel in order to reduce the time
spend on History Matching and Optimization studies while maintaining high accuracy
of results through a “Global optimizer” and an “Optimal proxy”.
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The Opus Terra™ toolbox aims to improve History Matching workflows using various
tools: A proxy model based on neural network to avoid time consuming reservoir simulation
and a global optimization method to identify the best solution. For example, this
toolbox allows to history match all production data (Pressure, water-cut …) or maximize
the production (wells placement, production rates …).
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This is a very powerful and flexible tool to build proxy models of reservoir simulators;
very useful for History Matching studies. The proxy models are developed using artificial
neural networks. This tool identifies the best neural network for your problem with
the option "Optimal neural network". This tool allows you to save computation time
while keeping high accuracy of your results.
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Opus Terra includes a powerful and flexible tool to optimize many reservoir engineer
problems such as: History Matching or production optimization. The optimizer is
a global optimization method: CMA-ES, this algorithm is known as one of the most
efficient for strongly nonlinear problems. This tool also allows you to manage linear
constraints which are essential for production optimization problems.
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This example illustrates the powerful of Opus Terra.
Opus Terra allows to build a high accuracy proxy of the objective function with
a minimal number of simulations.
Opus Terra allows to perform a global optimization that identifies best solutions.
The different solutions fit the observed data (Pressure, Water-cut and Gas-oil ratio)
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Publications:
Guérillot, D. R., & Bruyelle, J. (2017, March 6). Uncertainty Assessment in Production Forecast with an Optimal Artificial Neural Network. Society of Petroleum Engineers. doi:10.2118/183921-MS
Guérillot, D. R., & Bruyelle, J. (2016, December). History matching methodology using an optimal neural network proxy and a global optimization method. In Third EAGE Integrated Reservoir Modelling Conference.
Bruyelle, J., & Guérillot, D. (2014). Neural networks and their derivatives for history matching and reservoir optimization problems. Computational Geosciences, 18(3-4), 549-561
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