Efficient adjoint-based well-placement optimization using flow diagnostics proxies
نویسندگان
چکیده
Abstract Model-based optimization of placement and trajectories wells in petroleum reservoirs by the means reservoir simulation forecasts is computationally demanding due to high number simulations typically required achieve a local optimum. In this work, we develop an efficient flow-diagnostics proxy for net-present-value (NPV) with adjoint capabilities computation well control gradients approximate sensitivities respect placement/trajectory parameters. The suggested flow-diagnostic consists numerically solving single pressure equation given scenario solution few inter-well time-of-flight steady-state tracer equations, achieved seconds model medium size. Although may not be particularly good approximation full response, find that cases considered, correlation very hence suitable use loop. which provides similar computational complexity as forward (a seconds). We employ version generalized reduced gradient handling individual constraints (e.g., bottom-hole-pressures rates). As result, are enforced within computations, every parameter update becomes feasible without sacrificing information. present two numerical experiments illustrating efficiency performance approach problems involving models realistic complexity. placements evaluated using simulations. conclude discussing limitations possible enhancements methodology.
منابع مشابه
Well Placement Optimization Using Differential Evolution Algorithm
Determining the optimal location of wells with the aid of an automated search algorithm is a significant and difficult step in the reservoir development process. It is a computationally intensive task due to the large number of simulation runs required. Therefore,the key issue to such automatic optimization is development of algorithms that can find acceptable solutions with a minimum numbe...
متن کاملwell placement optimization using differential evolution algorithm
determining the optimal location of wells with the aid of an automated search algorithm is a significant and difficult step in the reservoir development process. it is a computationally intensive task due to the large number of simulation runs required. therefore,the key issue to such automatic optimization is development of algorithms that can find acceptable solutions with a minimum number of...
متن کاملEfficient placement of proxies for hierarchical reliable multicast
The primary focus of this paper is the design of efficient algorithm for the calculation of solution to the placement of proxies for performance optimization in hierarchical reliable multicast (HRM). Proxy is introduced to localize feedback and retransmission, and therefore significantly depress traffic redundancy and reduce latency. Placement of proxies is a key issue in HRM. This paper theore...
متن کاملOptimal Well Placement Under Uncertainty Using a Retrospective Optimization Framework
This paper (SPE 141950) was accepted for presentation at the SPE Reservoir Simulation Symposium, The Woodlands, Texas, USA, 21–23 February 2011, and revised for publication. Original manuscript received for review 15 December 2010. Revised manuscript received for review 12 May 2011. Paper peer approved 15 July 2011. Summary Subsurface geology is highly uncertain, and it is necessary to account ...
متن کاملUsing Evolution Strategy with Meta-models for Well Placement Optimization
Optimum implementation of non-conventional wells allows us to increase considerably hydrocarbon recovery. By considering the high drilling cost and the potential improvement in well productivity, well placement decision is an important issue in field development. Considering complex reservoir geology and high reservoir heterogeneities, stochastic optimization methods are the most suitable appro...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Computational Geosciences
سال: 2021
ISSN: ['1573-1499', '1420-0597']
DOI: https://doi.org/10.1007/s10596-021-10111-9