Multi-objective sidetracking horizontal well trajectory optimization in cluster wells based on DS algorithm

Wang, Zhiyue; Gao, Deli; Liu, Jianjun

doi:10.1016/j.petrol.2016.09.046

Cited by 43 publications

(10 citation statements)

References 18 publications

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“…Most of those algorithms have been widely applied to solve the problems in various engineering and management areas, such as project scheduling [18,19] and RFID network planning [26]. Here are some examples as genetic algorithm [6,13], evolutionary algorithm [14], differential evolution [15,1], particle swarm optimization [3], ant colony optimization [2], artificial bee colony [7], differential search [9,10,21], firefly algorithm [23,8] and so on. All of these heuristic algorithms simulate the behaviors of biotic population.…”

Section: Introduction For the Unconstrained Function Optimization Prmentioning

confidence: 99%

Improved Cuckoo Search algorithm for numerical function optimization

Li¹,

Zeng²,

Ge³

et al. 2020

Journal of Industrial &Amp; Management Optimization

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Cuckoo Search (CS) is a recently proposed metaheuristic algorithm to solve optimization problems. For improving its performance both on the efficiency of searching and the speed of convergence, we proposed an improved Cuckoo Search algorithm based on the teaching-learning strategy (TLCS). For a better balance between intensification and diversification, both a dynamic weight factor and an out-of-bound project strategies are also introduced into TLCS. The results of numerical experiment demonstrate that our improved TLCS performs better than the basic CS and other two improved CS methods appearing in literatures.

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Section: Introduction For the Unconstrained Function Optimization Prmentioning

confidence: 99%

Improved Cuckoo Search algorithm for numerical function optimization

Li¹,

Zeng²,

Ge³

et al. 2020

Journal of Industrial &Amp; Management Optimization

Self Cite

View full text Add to dashboard Cite

show abstract

“…The gas and oil drilling industry in recent years has become focused on optimizing its performance from various perspectives, in particular safety, cost, time and more generally achieving the objectives stated in approved drilling plans. Many optimization models have emerged in recent years with various objective functions related to key drilling variables such as weight on bit (WOB) revolutions per minute (RPM) rate of penetration (ROP), some focusing on multiple objectives (Guria et al 2014;Mansouri et al 2015;Wang et al 2016).…”

Section: Introductionmentioning

confidence: 99%

“…Minimizing wellbore length for complex directional well trajectories taking into account a range of constraints including, inclinations, build rates, azimuths, dog-leg severity (DLS) and frictional torque on the drill string has been the focus of several studies (Atashnezhad et al 2014;Mansouri et al 2015;Wood 2016a), some using a range of evolutionary optimizers and metaheuristic algorithms (Wood 2016b;Khosravanian et al 2018). Well-design optimization also involves a number of other considerations, such as casing placement scenarios (Khosravanian and Aadnoy 2016) and well-collision issues (Wang et al 2016).…”

Section: Introductionmentioning

confidence: 99%

Optimizing the separation factor along a directional well trajectory to minimize collision risk

Khosravanian¹,

Mansouri

Wood

et al. 2020

J Petrol Explor Prod Technol

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Optimizing the trajectory of directional wellbores is essential to minimize drilling costs and the impacts of potential drilling problems. It poses multi-objective optimization challenges. Well-design optimization models initially focus on wellborelength minimization, but ideally also need to consider minimizing the surface torque during drilling and address, among other constraints, collision avoidance with offset wells. A novel trajectory-optimization model is described that computes the separation factor along the wellbore. It employs a genetic optimization algorithm with an objective function that maximizes the minimum separation factor along the entire length of a wellbore. Plausible well trajectories are identified within a feasible solution space defined by user-identified constraints. The simplicity and effectiveness of the proposed model are demonstrated using a case study involving real well data from the Reshadat oil field offshore southern Iran. In the case considered, a proposed well trajectory is identified as unsafe in terms of its minimum separation factor with an offset well and is re-planned with the proposed model to achieve a safer trajectory.

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“…Optimizing the trajectory is significant for sidetracking horizontal well. Many theories, methods and models have been used to optimize well trajectory (Sawaryn and Thorogood 2005;Qi et al 2014;Wang et al 2016). Khosravanian et al (2018) used metaheuristic algorithms including genetic, ant colony, artificial bee colony and harmony search algorithms to optimize complex three-dimensional well-path length and minimize drilling cost.…”

Section: Introductionmentioning

confidence: 99%

Old well sidetracking selection standards: Sulige low-permeability gas field, China

Yuan

Zhang

Yan

et al. 2020

J Petrol Explor Prod Technol

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The old well sidetracking technology is an effective means to stabilize production and increase recovery in later stage of gas field development. Based on economical and reservoir geologic parameters of Sulige low-permeability gas field in China, method and procedure of old well sidetracking selection standards are established, which can effectively improve the sidetracking effect and adequately develop remaining gas. Comprehensively considering corresponding economic parameters including sidetracking drilling cost, operating cost, management cost, gas production rate and gas price, recoverable reserve standard of sidetracking well is determined first. According to gas recovery, gas-bearing area, porosity and gas saturation, standards of remaining geological reserve, reserve abundance and gas pay thickness of sidetracking well are obtained. According to extension direction and distribution characteristics of the sand body in research area, numerical simulation conceptual model of typical sidetracking horizontal well is established, and then standards of old gas well production rate and gas cumulative production rate for sidetracking are obtained. According to the standards, well Su 36-6-9CH is selected to be sidetracked as a horizontal well and its development effect is good. The method has important value of popularization and application in similar low-permeability gas reservoir.

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Multi-objective sidetracking horizontal well trajectory optimization in cluster wells based on DS algorithm

Cited by 43 publications

References 18 publications

Improved Cuckoo Search algorithm for numerical function optimization

Improved Cuckoo Search algorithm for numerical function optimization

Optimizing the separation factor along a directional well trajectory to minimize collision risk

Old well sidetracking selection standards: Sulige low-permeability gas field, China

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