Well location optimization aims to maximize the economic profit of oil and gas field development while respecting various constraints. The limitations currently available well placement workflows are their 1) high computational requirements, which makes them inappropriate for full-field applications where a large number wells have be optimized using computationally expensive simulation model; 2...

Abstract An Automatic Well Planner (AWP) is used to efficiently adjust pre-determined well paths honor near-well properties and increase overall production. AWP replicates modern geosteering decision-making where adjustments pre-programmed are driven by continuous integration of data obtained from logging-while-drilling look-ahead technology. In this work, combined into a robust optimization sc...

Tuned mass dampers (TMDs) systems are one of the vibration controlled devices used to reduce the response of buildings subject to lateral loadings such as wind and earthquake loadings. Although TMDs system has received much attention from researchers due to their simplicity, the optimization of properties and placement of TMDs is a challenging task. Most research studies consider optimization o...

Field development and control optimization aim to maximize the economic profit of oil gas production while considering several sources uncertainty. This results in a high-dimensional problem with computationally demanding uncertain objective function based on simulated reservoir model. The limitations many current robust methods are: 1) it is single-level (e.g. well locations/placement only; or...

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 ...

The adequate location of wells in oil and environmental applications has a significant economical impact on reservoir management. However, the determination of optimal well locations is both challenging and computationally expensive. The overall goal of this research is to use the emerging Grid infrastructure to realize an autonomic dynamic data-driven self-optimizing reservoir framework. In th...

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...

This research proposes a framework for determining the optimum location of an injection well using an inference method, artificial neural networks and a search algorithm to create a search space and locate the global maxima. A complex carbonate geothermal reservoir (Kizildere Geothermal field, Turkey) production history is used to evaluate the proposed framework. Neural networks are used as a t...