however, a very commonly seen item on oil and gas company balance sheets. Within the industry, the prices of commodities, such as oil, are set by the market. To deal with constantly fluctuating prices, oil and gas companies can hedge their position using derivatives. The derivatives...
The Data Business In Oil And Gas Market is projected to grow from USD 36,445 million in 2024 to USD 129,735.5 million by 2032, achieving a remarkable compound annual growth rate (CAGR) of 17.2%. The data business in the oil and gas market is driven by the increasing need for operationa...
Oil recovery, pressure change, and gas recovery could be recorded. 2.2. Effect of additives on IFT reduction Table 1 summarizes the literature on (i) IFT between modified CO2 and oil, and (ii) IFT between pure CO2 and oil. All studies in Table 1 used pendant drop and showed that IFT ...
EPC Company provides services of engineering, procurement, construction, commissioning and start-up projects in oil & gas, electricity, industries, infrastructure sector.
This study draws from the dynamic capabilities theory to examine how sustainable performance measured along with financial, environmental, and social performance are impacted by technology infrastructure, technology knowledge, and technology applications
The Gachsaran Formation in south west Iran, is one such formation, central to oil and gas resource exploration and development in the Zagros region and consisting of complex alternations of anhydrite, marl and salt. The casing-collapse incidents in this formation have resulted over decades in ...
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Linear regressions between time and dissolved oxygen concentration were calculated with Microsoft Excel, and slopes with r2 ≥ 0 .9 were used to cal- culate oxygen consumption based on the respirometer volume (1.5 L) and fish mass. Cost of transport52 was rate calculated using a ...
Acute ecotoxicology of natural oil and gas condensate to coral reef larvae Sci. Rep., 6 (2016), Article 21153, 10.1038/srep21153 View in ScopusGoogle Scholar Negri et al., 2021 A.P. Negri, et al. Derivation of toxicity thresholds for gas condensate oils protective of tropical species using...
The rise of machine learning has introduced non-linear models like support vector regression (SVR) and random forests (RF), which have significantly advanced the forecasting of crude oil returns[41],[42]. These methods excel in capturing the complex dynamics inherent in crude oil markets. Neural...