Hi Tobias, Access to adjoints is interesting for more of us. We have not been able to prioritise it, but getting adjoint output is quickly moving up the list. However, I would be most interested in seeing the functionality in our most capable simulator, which today is flow (found within the opm-autodiff repository).
Cheers, Alf ________________________________ From: Opm [[email protected]] on behalf of Tobias Ritschel [[email protected]] Sent: Sunday, April 19, 2015 1:08 PM To: [email protected] Subject: Re: [OPM] Opm Digest, Vol 31, Issue 5 Alright, I'll continue with the sim_example.cpp, I just wanted to make sure. I think I'll have a look at the MRST code, I guess it should be a good starting point. Some of my fellow students are using MRST for optimization and it seems to work quite well, but my master thesis (which I am currently working on) is concerned with high performance computing so I'll stick to OPM and use PETSc/TAO for the optimization. For now I am only concerned with two-phase immiscible flow but I'll let you know of my progress. Kind Regards On 19 April 2015 at 12:00, <[email protected]<mailto:[email protected]>> wrote: Send Opm mailing list submissions to [email protected]<mailto:[email protected]> To subscribe or unsubscribe via the World Wide Web, visit http://www.opm-project.org/mailman/listinfo/opm or, via email, send a message with subject or body 'help' to [email protected]<mailto:[email protected]> You can reach the person managing the list at [email protected]<mailto:[email protected]> When replying, please edit your Subject line so it is more specific than "Re: Contents of Opm digest..." Today's Topics: 1. Derivatives from solvers in opm-autodiff (Tobias Ritschel) 2. Re: Derivatives from solvers in opm-autodiff (Atgeirr Rasmussen) ---------------------------------------------------------------------- Message: 1 Date: Sat, 18 Apr 2015 15:11:26 +0200 From: Tobias Ritschel <[email protected]<mailto:[email protected]>> To: [email protected]<mailto:[email protected]> Subject: [OPM] Derivatives from solvers in opm-autodiff Message-ID: <CAJcuCB34EoqUw6c8-10_W=zttsm2sugm0+yzduwniqs4qrk...@mail.gmail.com<mailto:zttsm2sugm0%[email protected]>> Content-Type: text/plain; charset="utf-8" Hi I would like to use OPM for optimal control of injection and production. As such I need the derivatives/sensitivities of the a given objective function with respect to controls. This can be calculated using the discrete adjoint method which in turn requires derivatives of the residuals with respect to the dynamic variables and controls. I can see that there are some solvers such as SimulatorIncompTwophaseAd and ImpesTPFAAD, which I guess uses Automatic Differentiation. Is it possible to extract relevant derivatives from these functions, e.g. by using the function LinearizedBlackoilResidual and FullyImplicitBlackoilSolver? I am currently modifying the sim_simple.cpp example but if the functionality is implemented in one of the solvers in any way, I would prefer to use them. Kind Regards Tobias -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://www.opm-project.org/pipermail/opm/attachments/20150418/5a19d9f9/attachment-0001.html> ------------------------------ Message: 2 Date: Sun, 19 Apr 2015 08:18:25 +0000 From: Atgeirr Rasmussen <[email protected]<mailto:[email protected]>> To: OPM Mailing List <[email protected]<mailto:[email protected]>> Subject: Re: [OPM] Derivatives from solvers in opm-autodiff Message-ID: <[email protected]<mailto:[email protected]>> Content-Type: text/plain; charset="us-ascii" Hi! We have not yet implemented the adjoint method in OPM. We do indeed use Automatic Differentiation (AD) which should make it relatively easy (compared to without AD) to implement adjoints. If you'd implement this I would certainly be interested! It should also be noted that if you have access to Matlab, there are adjoint implementations in MRST's solvers. Atgeirr 18. apr. 2015 kl. 15:11 skrev Tobias Ritschel <[email protected]<mailto:[email protected]>>: > Hi > > I would like to use OPM for optimal control of injection and production. As > such I need the derivatives/sensitivities of the a given objective function > with respect to controls. This can be calculated using the discrete adjoint > method which in turn requires derivatives of the residuals with respect to > the dynamic variables and controls. > > I can see that there are some solvers such as SimulatorIncompTwophaseAd and > ImpesTPFAAD, which I guess uses Automatic Differentiation. Is it possible to > extract relevant derivatives from these functions, e.g. by using the function > LinearizedBlackoilResidual and FullyImplicitBlackoilSolver? > > I am currently modifying the sim_simple.cpp example but if the functionality > is implemented in one of the solvers in any way, I would prefer to use them. > > Kind Regards > Tobias > _______________________________________________ > Opm mailing list > [email protected]<mailto:[email protected]> > http://www.opm-project.org/mailman/listinfo/opm ------------------------------ Subject: Digest Footer _______________________________________________ Opm mailing list [email protected]<mailto:[email protected]> http://www.opm-project.org/mailman/listinfo/opm ------------------------------ End of Opm Digest, Vol 31, Issue 5 ********************************** ------------------------------------------------------------------- The information contained in this message may be CONFIDENTIAL and is intended for the addressee only. 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