The Petroleum Analytics Learning Machine (PALM) is a machine-learning-based, “brutally empirical” analysis system for managing the Internet of Things (IoT) in upstream and midstream oil and gas operations. PALM was developed in the new unconventional…
The Petroleum Analytics Learning Machine (PALM) is a machine-learning-based, “brutally empirical” analysis system for managing the Internet of Things (IoT) in upstream and midstream oil and gas operations. PALM was developed in the new unconventional…
One of the most important tools for studying fluid flow behavior in oil and gas reservoirs is reservoir simulation. It is constructed based on a comprehensive geological information. A comprehensive numerical reservoir model has tens of millions of…
This study aims to investigate how congestions at ports affect the shipping freight market using a System Dynamics model, particularly in the liquified petroleum gas (LPG) maritime transportation market. We utilize maritime big data derived from the…
In both industry and research domain, the consensus is that alarm in advance is more valuable than informing after pipeline having been destroyed, and a long-distance monitoring system is more valuable than one with a shorter distance. However,…
This paper presents a neuro-based approach for Iran annual gasoline demand forecasting by several socio-economic indicators. In order to analyze the influence of economic and social indicators on the gasoline demand, the gross domestic product (GDP),…
Describes an evolved artificial neural network that is evolved by the particle swarm optimisation (PSO) algorithm. Compared with previous evolved ANNs, both the architecture and weights of this ANN are evolved by PSO, it means that the network…
As a powerful tool to solve nonlinear problems, artificial neural network method (ANN) gets a wide range of applications in data regression. However, the overfitting often occurs during the ANN training process, which results in high accuracy of…
With the continuous development of Internet technology, knowledge graph construction has received increasing attention. Extracting useful medical knowledge from massive data is the key to analyzing big medical data. The knowledge graph is a semantic…
Performance prediction is one of the important contents of oilfield development. It is also an important content affecting investment decision-making, especially for offshore oilfields with large investment. At present, most oilfields in China have…
Performance prediction is one of the important contents of oilfield development. It is also an important content affecting investment decision-making, especially for offshore oilfields with large investment. At present, most oilfields in China have…
Performance prediction is one of the important contents of oilfield development. It is also an important content affecting investment decision-making, especially for offshore oilfields with large investment. At present, most oilfields in China have…
The exergy-based assessment on the sustainable utilization processes of technical lignin is important for potential identify and process optimization. In this study, chemical exergy of technical lignin was evaluated for the first time based on the…
It is crucial to ensure the safety and integrity of underground gas storage (UGS) infrastructure for energy reliability in California, and many other places around the world. To address the risk management need in UGS industry, we take advantage of…
In the oil and natural gas industry, artificial intelligence (AI) technology has penetrated into all links from exploration and development to construction sites. This paper investigates the application of artificial intelligence in each link of oil…
Downhole tools are complex electro-mechanical systems that perform critical functions in drilling operations. The electronics within these systems provide vital support, such as control, navigation and front-end data analysis from sensors. Due to the…
The paper presents a new evolutionary system for evolving artificial neural networks (ANN). In the process of evolution, the network architecture and the node weights of ANN are evolved alternately, and the evolution value of network architecture is…
The series system reliability and availability are considerably deteriorated as the number of components increases. Redundancy are use to over come such problem. However in liquid supply systems (oil supply) and line production systems that afford to…
Oil and Gas operations are now being "datafied." Datafication in the oil industry refers to systematically extracting data from the various oilfield activities that are naturally occurring. Successful digital transformation hinges critically on an…
Oil and Gas operations are now being "datafied." Datafication in the oil industry refers to systematically extracting data from the various oilfield activities that are naturally occurring. Successful digital transformation hinges critically on an…
Oil and Gas operations are now being "datafied." Datafication in the oil industry refers to systematically extracting data from the various oilfield activities that are naturally occurring. Successful digital transformation hinges critically on an…
Oil and Gas operations are now being "datafied." Datafication in the oil industry refers to systematically extracting data from the various oilfield activities that are naturally occurring. Successful digital transformation hinges critically on an…
Oil and Gas operations are now being "datafied." Datafication in the oil industry refers to systematically extracting data from the various oilfield activities that are naturally occurring. Successful digital transformation hinges critically on an…
The more electric aircraft (MEA) concept has been identified as the major trend of future aircraft. The DC distribution network is a promising architecture for more-electric aircraft application, where multiple electrical sources are connected to a…
Aiming at the actual demands of petroleum exploration and development, this paper describes the research progress and application of artificial intelligence (AI) in petroleum exploration and development, and discusses the applications and development…
Urban underground pipeline is an important lifeline of cities. Application education of urban underground pipeline management also was important to urban underground pipeline manager. In order to manage underground pipeline efficiently and provide…
Rate of penetration (ROP) prediction is a very important aspect in oil and gas industry. Several studies using different methods were applied to predict ROP. This importance stems from cost reducing of drilling projects. The objective of this paper…
This paper summarizes the related contents of artificial intelligence and big data, analyzes the development of financial field comprehensively, and presents the application of artificial intelligence and big data in the field of finance and…
This paper summarizes the related contents of artificial intelligence and big data, analyzes the development of financial field comprehensively, and presents the application of artificial intelligence and big data in the field of finance and…
This paper summarizes the related contents of artificial intelligence and big data, analyzes the development of financial field comprehensively, and presents the application of artificial intelligence and big data in the field of finance and…
This paper summarizes the related contents of artificial intelligence and big data, analyzes the development of financial field comprehensively, and presents the application of artificial intelligence and big data in the field of finance and…
In order to explore the intelligent path of agricultural sustainable development, this paper combines big data technology to process agricultural sustainable development data with the support of machine learning technology. Moreover, in order to…
Because the damage of pipeline is controlled by many factors, such as fault movement, pipe-soil interaction, buried depth, etc., the relationship between pipeline damage and influencing factors is complicated. In order to predict the pipeline damage,…
Oil recovery during in situ combustion is majorly controlled by hydrocarbon oxidation and pyrolysis reactions, which govern fuel formation and heat evolution. Fuel deposition, in turn, can be accurately predicted in part through crude oil pyrolysis…
Oil and gas industries are facing several challenges and issues in data processing and handling. Large amount of data bank is generated with various techniques and processes. The proper technical analysis of this database is to be carried out to…
This paper develops a rigorous and advanced data-driven model to describe, analyze, and forecast the global crude oil demand. The study deploys a hybrid approach of artificial intelligence techniques, namely, the genetic-algorithm, neural-network,…
This paper develops a rigorous and advanced data-driven model to describe, analyze, and forecast the global crude oil demand. The study deploys a hybrid approach of artificial intelligence techniques, namely, the genetic-algorithm, neural-network,…
The application of big data and artificial intelligence (AI) technology has caused subversive changes to society and industry. As the life-blood of our industry, petroleum is an important material basis for promoting national economy and industrial…
The application of big data and artificial intelligence (AI) technology has caused subversive changes to society and industry. As the life-blood of our industry, petroleum is an important material basis for promoting national economy and industrial…
The application of big data and artificial intelligence (AI) technology has caused subversive changes to society and industry. As the life-blood of our industry, petroleum is an important material basis for promoting national economy and industrial…
The application of big data and artificial intelligence (AI) technology has caused subversive changes to society and industry. As the life-blood of our industry, petroleum is an important material basis for promoting national economy and industrial…
The application of big data and artificial intelligence (AI) technology has caused subversive changes to society and industry. As the life-blood of our industry, petroleum is an important material basis for promoting national economy and industrial…
The exploration and production of oil and gas lead to many logistics challenges. In the case of the Brazilian offshore production, the operation size and the fact that the exploration occurs up to 300 km apart from the coast make these challenges…
Traditional digital media system can not complete the format conversion and video transcoding of massive image and video information at the same time, which leads to long time of information processing and loss of data storage. Therefore, a digital…
The increased water scarcity, depletion of freshwater resources, and rising environmental awareness are stressing for the development of sustainable wastewater treatment processes. Microalgae-based wastewater treatment has resulted in a paradigm…
The energy industry is at a crossroads. Digital technological developments have the potential to change our energy supply, trade, and consumption dramatically. The new digitalization model is powered by the artificial intelligence (AI) technology.…
Combining with artificial potential field and robust H∞ methods, the neural network (NN)-based adaptive synchronized tracking control is proposed for accommodation vessel (AV). The control task is to drive AV synchronous tracking floating production…
Across the natural world, many species have evolved methods for amplifying their decision-making accuracy by thinking together in real-time closed-loop systems. Known as Swarm Intelligence (SI) in the field of biology, the process has been deeply…
As one of the most strategically important natural resources, crude oil can be dangerous to transport by sea. The resilience of a maritime transport network denotes the ability of the system to withstand damage and remain operational after…
Area under the ROC curve, a.k.a. AUC, is a measure of choice for assessing the performance of a classifier for imbalanced data. AUC maximization refers to a learning paradigm that learns a predictive model by directly maximizing its AUC score. It has…