Well placement optimization is a significant task in oil field development which aims to find the optimal well locations by maximizing net present value (NPV) or other objective function. It highly nonlinear problem involving large number of variables. Despite lots work has been done on conventional reservoirs, tool for naturally fractured reservoir (NFR) still rare. Naturally reservoirs repres...

The oil and gas industry faces difficulties in optimizing well placement problems. These problems are multimodal, non-convex, discontinuous nature. Various traditional non-traditional optimization algorithms have been developed to resolve these difficulties. Nevertheless, techniques remain trapped local optima provide inconsistent performance for different reservoirs. This study thereby present...

results the mean distances between the crestal bone and the implant shoulder in group 1 were 1.01, 1.44, and 1.93 mm at the implant placement time, and at the 6 and 12-month postoperative intervals, respectively. in group 2, these distances were 1.35, 1.20, and 1.41 mm, respectively. there were no significant differences in the marginal bone resorption between the two groups (p > 0.05). conclus...

The most costly operation in the oil exploration is the well network drilling. One of the most effective ways to reduce the cost of drilling networks is decreasing the number of the required wells by selecting the optimum situation of the rig placement. In this paper, Balas algorithm is used as a model for optimizing the cost function in oil well network, where the vertical and directional dril...

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...

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...

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...