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README.html
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</style><title>README</title></head><body><article class="markdown-body"><h1>
<a id="user-content-fieldopt-research-open" class="anchor" href="#fieldopt-research-open" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>FieldOpt-Research-Open</h1>
<p>FieldOpt [Open Research Version] is a C++ programming framework
for efficient prototyping and testing of optimization methodologies
for problems involving large-scale numerical simulations.</p>
<h2>
<a id="user-content-target-problems" class="anchor" href="#target-problems" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>Target problems</h2>
<h3>
<a id="user-content-petroleum-field-development" class="anchor" href="#petroleum-field-development" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>Petroleum Field Development</h3>
<ul>
<li>[x] Well placement optimization <a href="#Bellout2012JntWplcCntrl">[1]</a>
</li>
<li>[x] Production optimization</li>
<li>[x] Optimization of inflow-control valve settings</li>
<li>[x] Well completion optimization and model-update while drilling</li>
<li>[ ] Minimization of C02 emissions</li>
</ul>
<h2>
<a id="user-content-optimization-methodologies" class="anchor" href="#optimization-methodologies" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>Optimization methodologies</h2>
<h3>
<a id="user-content-deterministic" class="anchor" href="#deterministic" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>Deterministic</h3>
<ul>
<li>[x] Compass Search (CS)</li>
<li>[x] Asynchronous Paralell Pattern Search (APPS)</li>
<li>[x] Derivative-Free Trust-Region Algorithm (DFTR) <a href="#Silva2020DfTrAlgWcntrlOpt">[2]</a>
</li>
</ul>
<h3>
<a id="user-content-stochastic--probabilistic" class="anchor" href="#stochastic--probabilistic" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>Stochastic / probabilistic</h3>
<ul>
<li>[x] Genetic Algorithm (GA)</li>
<li>[x] Particle Swarm Optimization (PSO)</li>
<li>[x] Covariance Matrix Adaption Evolutionary Strategy (CMA-ES)</li>
<li>[x] Bayesian Optimization (EGO)</li>
<li>[x] Simultaneous Perturbation Stochastic Approximation (SPSA)</li>
</ul>
<h3>
<a id="user-content-hybrid-approaches" class="anchor" href="#hybrid-approaches" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>Hybrid approaches</h3>
<ul>
<li>[ ] mPSO</li>
<li>[ ] APPS/PSO + data-driven meta-optimization</li>
<li>[ ] Joint optimization using embedded reduced-order sub-routines</li>
</ul>
<h3>
<a id="user-content-problem-structure" class="anchor" href="#problem-structure" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>Problem structure</h3>
<ul>
<li>[ ] Multi-level joint optimization (concurrent, sequential, embedded)</li>
<li>[ ] Automatic variable segregation for multi-level optimization</li>
<li>[x] Variable scaling</li>
</ul>
<h3>
<a id="user-content-objective-terms" class="anchor" href="#objective-terms" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>Objective terms</h3>
<ul>
<li>[x] Weighted function, Net Present Value</li>
<li>[x] Well cost</li>
<li>[x] Augmented terms: Geology & geophysics-based (SWCT)</li>
</ul>
<h3>
<a id="user-content-thirdparty-solverslibraries" class="anchor" href="#thirdparty-solverslibraries" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>Thirdparty solvers/libraries</h3>
<ul>
<li>[x] SNOPT <a href="#Gill2002SNOPTSIAMRev">[3]</a>
</li>
<li>[x] Ensemble based Reservoir Tool (ERT) <a href="#EquinorERT">[4]</a>
</li>
<li>[ ] TensorFlow</li>
</ul>
<h2>
<a id="user-content-functionalities" class="anchor" href="#functionalities" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>Functionalities</h2>
<h3>
<a id="user-content-interfaces-subsurface-flow-simulators" class="anchor" href="#interfaces-subsurface-flow-simulators" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>Interfaces subsurface flow simulators</h3>
<ul>
<li>[x] Schlumberger's E100/E300/IX</li>
<li>[x] Open Porous Media Flow</li>
<li>[x] Stanford's AD-GPRS</li>
<li>[x] Pre-/Post-processing
<ul>
<li>[x] E300 adjoint-gradient read-in</li>
</ul>
</li>
</ul>
<h3>
<a id="user-content-well-trajectory-development" class="anchor" href="#well-trajectory-development" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>Well trajectory development</h3>
<ul>
<li>[ ] Automatic well planner (AWP) <a href="#Kristoffersen2020AWPGeoUncer">[5]</a>
</li>
<li>[x] State-of-the-art well connection transmissibility factor calculation <a href="#ResInsightv2020.04.1">[6]</a>
</li>
<li>[x] Variable mapping onto multi-segmented well model (WELSEGS/COMPSEGS/WSEGVALV) <a href="#SLB2012EclipseTD">[7]</a>
</li>
</ul>
<h3>
<a id="user-content-well-placement-constraint-handling" class="anchor" href="#well-placement-constraint-handling" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>Well placement constraint-handling</h3>
<ul>
<li>[ ] Method of Alternating Projections (MAP) <a href="#Bellout2018EffConstrHandlWplcOpt">[8]</a>
</li>
<li>[ ] Length, inter-well distance, user-defined convex-polytope reservoir-boundary</li>
</ul>
<h3>
<a id="user-content-networkfacility-modeling" class="anchor" href="#networkfacility-modeling" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>Network/facility modeling</h3>
<ul>
<li>[ ] Topside facility model for CO2 emission calculation</li>
</ul>
<h3>
<a id="user-content-uncertainty-handling" class="anchor" href="#uncertainty-handling" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>Uncertainty-handling</h3>
<ul>
<li>[x] Expected cost function evaluation over realization set</li>
<li>[ ] Reduced random sampling strategy<a href="#Jesmani2020RedRanSamStr">[9]</a>
</li>
</ul>
<h3>
<a id="user-content-parallelization" class="anchor" href="#parallelization" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>Parallelization</h3>
<ul>
<li>[x] Algorithm-level parallelization of cost function
evaluations (simulations) through MPI runtime library
<a href="#Baumann2020FieProFrmwrk">[10]</a>
</li>
</ul>
<h2>
<a id="user-content-references" class="anchor" href="#references" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>References</h2>
<p><a id="user-content-Bellout2012JntWplcCntrl">[1]</a>
Bellout, M.C.; Echeverria Ciaurri, D.; Durlofsky, L.J.; Foss, B.; Kleppe, J.
(2012).
Joint optimization of oil well placement and controls.
Computational Geosciences, 16(4), pp.1061-1079.
<a href="https://doi.org/10.1007/s10596-012-9303-5" rel="nofollow">https://doi.org/10.1007/s10596-012-9303-5</a></p>
<p><a id="user-content-Silva2020DfTrAlgWcntrlOpt">[2]</a>
Silva, T.L.; Bellout, M.C.; Giuliani, C.; Camponogara, E.; Pavlov, A.
(2020).
A Derivative-Free Trust-Region Algorithm for Well Control Optimization.
17th European Conference on the Mathematics of Oil
Recovery, 14th-17th September, Online Event.
<a href="https://doi.org/10.3997/2214-4609.202035086" rel="nofollow">https://doi.org/10.3997/2214-4609.202035086</a></p>
<p><a id="user-content-Gill2002SNOPTSIAMRev">[3]</a>
Gill, P.E.; Murray, W.; Saunders, M.A.
(2005).
SNOPT: An SQP Algorithm for Large-Scale Constrained Optimization.
SIAM Review, 47(1), pp.99-131.
<a href="http://dx.doi.org/10.1137/S0036144504446096" rel="nofollow">http://dx.doi.org/10.1137/S0036144504446096</a></p>
<p><a id="user-content-EquinorERT">[4]</a>
Equinor.
(2021).
Ensemble based Reservoir Tool.
<a href="https://github.com/equinor/ert">https://github.com/equinor/ert</a></p>
<p><a id="user-content-Kristoffersen2020AWPGeoUncer">[5]</a>
Kristoffersen, B.S.; Silva, T.L.; Bellout, M.C.; Berg, C.F.
(2020).
An Automatic Well Planner for Efficient Well Placement
Optimization Under Geological Uncertainty.
17th European Conference on the Mathematics of Oil
Recovery, 14th-17th September, Online Event.
<a href="https://doi.org/10.3997/2214-4609.202035211" rel="nofollow">https://doi.org/10.3997/2214-4609.202035211</a></p>
<p><a id="user-content-ResInsightv2020.04.1">[6]</a>
Ceetron Solutions AS; Equinor ASA.
(2020).
ResInsight.
<a href="http://resinsight.org" rel="nofollow">http://resinsight.org</a></p>
<p><a id="user-content-SLB2012EclipseTD">[7]</a>
Schlumberger AS.
(2012).
Eclipse technical description.
Chp.44: Multi-segment Wells. pp.683-703.
<a href="https://www.software.slb.com/products/eclipse/simulators" rel="nofollow">https://www.software.slb.com/products/eclipse/simulators</a></p>
<p><a id="user-content-Bellout2018EffConstrHandlWplcOpt">[8]</a>
Bellout, M.C.; Volkov, O.
(2018).
Development of efficient constraint-handling approaches
for well placement optimization.
16th European Conference on the Mathematics of Oil
Recovery, 3rd-6th September, Barcelona, Spain.
<a href="https://doi.org/10.3997/2214-4609.201802247" rel="nofollow">https://doi.org/10.3997/2214-4609.201802247</a></p>
<p><a id="user-content-Jesmani2020RedRanSamStr">[9]</a>
Jesmani, M.; Jafarpour, B.; Bellout, M.C.; Foss, B.
(2020).
A reduced random sampling strategy
for fast robust well placement optimization.
Journal of Petroleum Science and Engineering, 184, pp.106414.
<a href="https://doi.org/10.1016/j.petrol.2019.106414" rel="nofollow">https://doi.org/10.1016/j.petrol.2019.106414</a></p>
<p><a id="user-content-Baumann2020FieProFrmwrk">[10]</a>
Baumann, E.J.M.; Dale, S.I.; Bellout, M.C.
(2020).
FieldOpt: A powerful and effective programming
framework tailored for field development optimization.
Computers & Geosciences, 135, pp.104379.
<a href="https://doi.org/10.1016/j.cageo.2019.104379" rel="nofollow">https://doi.org/10.1016/j.cageo.2019.104379</a></p>
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