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A new approach to estimate drilling time, rate of penetration, and drillability of formations in oil and gas exploration and production basins of Turkey
(Springer, 2022)
It is of great importance that the drilling program required for the newly drilled wells is estimated by using the drilling data of the previously drilled wells in a field or basin to complete the drilling under economic ...
A comparative study of estimating solar radiation using machine learning approaches: DL, SMGRT, and ANFIS
(Taylor and Francis Ltd., 2022)
Solar energy has a key role in producing clean and emissions-free power compare to conventional methods. However, sustainable development also requires a reliable and predictable energy source. It also needs methods to ...
Development of novel inhibitive water-based drilling muds for oil and gas field applications
(Elsevier, 2022)
The aim of this study is to develop inhibitive drilling fluid systems generated from waste materials that can contribute to the reduction of potential well instability problems caused by drilling fluid based on rheological ...
Overview of smart home concepts through energy management systems, numerical research, and future perspective
(Taylor and Francis Ltd., 2022)
The concept of smart homes is considered either to enhance life quality of people or to ensure energy management of buildings, where intelligent technologies are used to achieve the comfort and energy management aims in ...
A comprehensive performance analysis of meta-heuristic optimization techniques for effective organic rankine cycle design
(Elsevier, 2022)
Optimizing the operating parameters is of great importance to improve Organic Rankine Cycle (ORC) system efficiency. Nowadays, meta-heuristic algorithms are widely used to obtain fast and effective solutions. However, it ...
