.... A process for continuous model refinements and improvements is outlined, allowing decision makers to maintain an ‘evergreen’ perspective of potential strategic alternatives in renewables. upstream oil & gas sustainability asia government social responsibility artificial intelligence europe...

... alternative solutions if needed. The twin core comprises physics- and data-based simulation while it is in contact with a supervisory system to get more specified advice over the operation. The supervisory system is a non-real-time discrete domain that uses Artificial intelligence and Big Data analysis...

... with sustainability practices (through artificial intelligence) for optimal business performance in terms of finances but also environmental impact. This is achieved through a track, trace, and optimize approach for resources (particularly emissions, energy, water, waste, materials, and safety). The case studies...

...Introduction drilling equipment asia government saudi arabia government uae government drilling operation artificial intelligence edge analytic deployment wireless broadband iiot architecture satellite communication device management connectivity enhancing drilling operation...

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... Figure 1 Representation of each lithology in the dataset regarding the number of data points and their percentages. Variables and Hypothesis asia government united states government upstream oil & gas deep learning well logging artificial intelligence neural network...

... Intelligence (AI) technology demonstrates the promising potential for enhancing traditional reservoir engineering approaches in a large spectrum of reservoir characterization problems [ 6 , 7 ]. Data-Driven Reservoir Modeling (Reservoir Analytics) is defined as the application of Artificial Intelligence...

... overcoming its limitations by introducing new coefficients, modifying the analytical form of the equation, etc. Integrating CRM with rapidly developing artificial intelligence (AI) methods seems to be a logical continuation of model evolution. Recently introduced Physics-Informed Neural Networks (PINN) can...

... with Sumitomo Corporation's Tubular Division which primarily deals with high-grade Oil Country Tubular Goods (OCTG) globally. The presented solution demonstrates how with the right data set (drilling sequence data, stock data and consumption data), artificial intelligence can be used to build out a model...

... optimization of ESP performance, avoiding unplanned failures and extend ESP run life. artificial intelligence united states government upstream oil & gas esp asia government artificial lift system abu dhabi international petroleum exhibition operation machine learning pfa rul pred...

... & simulation upstream oil & gas reservoir simulation artificial intelligence workflow history equation information digitally augmented subsurface history match dash-sim magnitude timestep porosity reservoir simulation history matching calibration dash-sim history Introduction History...

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... different kind of Log curve and channel mnemonics, to support the business users with daily activities and tasks. With the growing demand and usage of data science techniques and Artificial intelligence algorithms, it has become convenient to use existing solutions and open-source resources to find...

... were used to check the performance and accuracy of the ANN model and correlation. neural network machine learning upstream oil & gas thermal expansion expansion pvt measurement saudi arabia government correlation asia government artificial intelligence coefficient isobaric...

... christiansen operation research fagerholt research adp set asia government artificial intelligence loading node operation formulation optimize annual delivery program voyage delivery Introduction The Liquefied Natural Gas (LNG) industry plays a significant role in the global energy market...

..., the design and the IW's production optimization simultaneously. asia government united states government icv flow control equipment upstream oil & gas optimization problem artificial intelligence pvt measurement production logging reservoir surveillance wellbore npv production...

.... Figure. 3 ANN Architecture (modified from He et al. (2021) ) penetration neural network asia government artificial intelligence united states government europe government upstream oil & gas drilling operation uae government conference exhibition drilling optimization prediction...

... to a proactive approach to maintenance and failure prevention, all which in turn have resulted in prolonged operational life and efficiency of equipment, thus reducing Non-Productive Time. hydraulic fracturing operator efficiency upstream oil & gas artificial intelligence intervention operation...

..., a novel approach was implemented to enhance the model by creating Pseudo Corrected Gamma Ray (CGR) logs using Artificial Intelligence methods to identify the thin shale beds within the reservoir. The lithology of the carbonate reservoir understudy is mostly composed of dolomite and limestone rock...

... to interrogate the effects of a particular sequence of events on the final output. Using artificial intelligence techniques, these relationships between data points can be exploited in several interesting ways as seen in the next section. Identification of optimal frac parameter settings using similarity...