Well function curves for different geometric situations in a large-diameter well

Banerjee, Monali; Chandra, Prabhat; Shanker, D.; Singh, Harbhajan; Singh, V. P.

doi:10.1556/ageod.44.2009.4.6

Cited by 2 publications

(2 citation statements)

References 18 publications

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“…Butler () stated that the Theis () method would provide weighted averages of near‐well and far‐field transmissivity and storativity values in radially symmetric heterogeneous aquifers; furthermore, the decreasing influence of the inner concentric zone on the drawdown time variation would be similar to the behaviour observed in the vicinity of large diameter pumping well such as the ones that are depicted in the work of Papadopulos and Cooper () and Banerjee et al . ().…”

Section: Introductionmentioning

confidence: 97%

Assessing radial transmissivity variation in heterogeneous aquifers using analytical techniques

Avcı

Şahin

2013

Hydrological Processes

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Abstract:Pumping tests are one of the most commonly used in situ testing techniques for assessing aquifer hydraulic properties. Numerous researches have been conducted to predict the effects of aquifer heterogeneity on the groundwater levels during pumping tests. The objectives of the present work were as follows: (1) to predict drawdown conditions and to estimate aquifer properties during pumping tests undertaken in radially symmetric heterogeneous aquifers, and (2) to identify a method for assessing the transmissivity field along the radial coordinate in radially symmetric and fully heterogeneous transmissivity fields. The first objective was achieved by expanding an existing analytical drawdown formulation that was valid for a radially symmetric confined aquifer with two concentric zones around the pumping well to an N concentric zone confined aquifer having a constant transmissivity value within each zone. The formulation was evaluated for aquifers with three and four concentric zones to assess the effects of the transmissivity field on the drawdown conditions. The specific conditions under which aquifer properties could be identified using traditional methods of analysis were also evaluated. The second objective was achieved by implementing the inverse solution algorithm (ISA), which was developed for petroleum reservoirs to groundwater aquifer settings. The results showed that the drawdown values are influenced by a volumetric integral of a weighting function and the transmissivity field within the cone of depression. The weighting function migrates in tandem with the expanding cone of depression. The ability of the ISA to predict radially symmetric and log-normally distributed transmissivity fields was assessed against analytical and numerical benchmarks. The results of this investigation indicated that the ISA method is a viable technique for evaluating the radial transmissivity variations of heterogeneous aquifer settings.

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Section: Introductionmentioning

confidence: 97%

Assessing radial transmissivity variation in heterogeneous aquifers using analytical techniques

Avcı

Şahin

2013

Hydrological Processes

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“…But, like every other instrument, the drill, has a range of problems that are not well discussed and more detail needs to be given. Optimized drilling is the system or the program that can be used to reduce the cost of the deep water, oil or gas well for the operator to the minimum [2]. The selection of drilling parameters (drilling optimization), lead to the optimum prediction of the drilling rate, which is critical to minimize the cost of drilling per foot [3].…”

Section: Introductionmentioning

confidence: 99%

Optimization of drilling performance using various metaheuristics

Alsamia

Ibrahim

Ghafil

2021

Pollack

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The most crucial function in drilling wells is the rate of penetration, which is modeled by many researchers, and the best one is Young-Bourgyen model, which is used in this study. Eight factors affecting rate of penetration have been studied and approved in developing a mathematical equation that shows the combined effects of these variables on rate of penetration optimization. This paper presents an efficient way to find the optimum values for parameters of the Young-Bourgyen model using metaheuristic algorithms. An actual drilling data was used from Khangiran field to calculate the difference between the actual penetration rate and the predicted one by different optimization algorithms. Particle swarm optimization, dynamic differential annealing optimization, artificial bee colony, gray wolf optimization, Harris hawk's optimization, flower pollination algorithm, firefly algorithm, whale optimization algorithm, and sine cosine algorithm are used to find best possible solution.

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Well function curves for different geometric situations in a large-diameter well

Cited by 2 publications

References 18 publications

Assessing radial transmissivity variation in heterogeneous aquifers using analytical techniques

Assessing radial transmissivity variation in heterogeneous aquifers using analytical techniques

Optimization of drilling performance using various metaheuristics

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