With the breakthrough and progress of shale oil and gas exploration, the strong heterogeneity of shale has been highly paid attention. Relying on the traditional geological methods, the classification of shale is difficult to meet the current needs…
In big data, the large number of missing values is a serious problem to compute the correct decision. This problem seriously affects the quality of information query, distorts data mining and analysis, and misleads the decisions. Therefore, in order…
The oil & gas industry has been value added from our digital assets since this new century, which helped our industry dig out more advanced algorithm, more robust logic to address the challenge from HPHT wells and deep-water wells. Nowadays the…
Energy is one of the key factors for a country's economic and social growth. Bangladesh is constantly seeking sustainable energy sources for securing its increasing energy demand as energy security is a national concern. Currently, Bangladesh is…
In the era of digitization of oil and gas industry, application of big data that is generated in the process of oil and gas exploration and development can boost the construction of digital and intelligent oilfield. The paper has introduced the…
Agricultural Internet of things (AIoT) promotes the modernization of traditional agricultural production and marketing model. However, the existing time series prediction methods for agricultural production and agricultural product (AP) marketing…
Big data-driven ensemble learning is explored in this paper for quantitative geological lithofacies modeling, which is an integral and challenging part of petroleum reservoir development and characterization. Quantitative lithofacies modeling…
HSE (Health, Safety, and Environment) management is one of the most concerned matters of every business, especially in petroleum Industry. Currently, analyzing the origin of accident and tracing the responsibility of accident commonly happened after…
In recent years, the rapid development of information science and technology is also changing the way of life of human beings. Especially with the application of advanced technologies such as big data analysis technology, digital media technology and…
This paper details the successful validation process of advanced DP (Dynamic Positioning) and power management tools and solutions through processing big data from offshore drilling operations. Along with outlining the technical details behind the…
With the breakthrough and progress of shale oil and gas exploration, the strong heterogeneity of shale has been highly paid attention. Relying on the traditional geological methods, the classification of shale is difficult to meet the current needs…
Occupational identity is an individual's view, recognition, and approval of his long-term occupation, and its importance to every professional is self-evident. Only when a professional person agrees with the profession he is engaged in from the…
In this paper, the distribution of methyl dibenzofuran isomers (MDBFs) in petroleum hydrocarbon samples of different ages and sedimentary environments were analyzed by the GC-MS method and relevant software. Relevant parameters of MDBFs were put into…
The traditional accounting model has obvious disadvantages: high cost, low efficiency, tedious work, and there is a large development space in the existing accounting system. This paper introduces the development process of cloud computing, and…
In big data, the large number of missing values is a serious problem to compute the correct decision. This problem seriously affects the quality of information query, distorts data mining and analysis, and misleads the decisions. Therefore, in order…
There are abundant deep shale gas resources and their development prospect is promising. Reasonable horizontal well spacing can maximize single well productivity while producing inter-well reserves sufficiently. When field test and numerical…
The oil & gas industry has been value added from our digital assets since this new century, which helped our industry dig out more advanced algorithm, more robust logic to address the challenge from HPHT wells and deep-water wells. Nowadays the…
With the rapid development of computer science and technology, the Chinese petroleum industry has ushered in the era of big data. In this study, by collecting fracturing data from 303 horizontal wells in the Fuling Shale Gas Demonstration Area in…
Energy is one of the key factors for a country's economic and social growth. Bangladesh is constantly seeking sustainable energy sources for securing its increasing energy demand as energy security is a national concern. Currently, Bangladesh is…
Big data processing frameworks such as Spark usually provide a large number of performance-related configuration parameters, how to auto-tune these parameters for a better performance has been a hot issue in academia as well as industry for years.…
In the era of digitization of oil and gas industry, application of big data that is generated in the process of oil and gas exploration and development can boost the construction of digital and intelligent oilfield. The paper has introduced the…
With the in-depth application of big data technology in the field of oil exploration and production. However, the data quality issues have seriously hampered the use of big data. This paper analyzes the evaluation methods of data quality at home and…
Agricultural Internet of things (AIoT) promotes the modernization of traditional agricultural production and marketing model. However, the existing time series prediction methods for agricultural production and agricultural product (AP) marketing…
In order to realize the balance between the designer's own hand-painted design and the large-scale batch standardized production mode of modern chemical plants in ceramic design, a CAD method for ceramic design creation based on mobile digital…
Technological advancements in large industries like power, minerals, and manufacturing are generating massive data every second. Big data techniques have opened up numerous opportunities to utilize massive datasets in several effective ways to…
In the past decade, the amount of data in the petroleum industry has increased rapidly, and the demand for data mining has continued to increase. The method of big data analysis can more scientifically guide the exploration and development, oil…
Big data-driven ensemble learning is explored in this paper for quantitative geological lithofacies modeling, which is an integral and challenging part of petroleum reservoir development and characterization. Quantitative lithofacies modeling…
Diagnostic fracture injection tests (DFIT's), or "mini-fracs" are often used to gauge many reservoir and fracture design parameters. However, DFITs are not always conducted in conjunction with the main completions work. This paper proposes a novel…
The leakage of natural gas pipelines may cause significant safety accidents and cause severe economic losses to society. Therefore, timely detection and location of pipeline leak is an effective measure to reduce losses. Traditional methods need to…
HSE (Health, Safety, and Environment) management is one of the most concerned matters of every business, especially in petroleum Industry. Currently, analyzing the origin of accident and tracing the responsibility of accident commonly happened after…
Coal-geology course is one of the core courses of resource exploration engineering major in most universities of geology, mining and petroleum. In the process of teaching, we should constantly improve the optimization design of course content,…
Managing oil production from reservoirs to maximize the future economic return of the asset is an important issue in petroleum engineering. One of the most important problems is the prediction of water flooding performance. Traditional strategies…
In recent years, the rapid development of information science and technology is also changing the way of life of human beings. Especially with the application of advanced technologies such as big data analysis technology, digital media technology and…
In this paper, the current status and research prospect of big data and intelligent optimization methods in oilfield development were reviewed and discussed, including the basic concepts and characteristics of the techniques, the production problems…
This paper details the successful validation process of advanced DP (Dynamic Positioning) and power management tools and solutions through processing big data from offshore drilling operations. Along with outlining the technical details behind the…
Occupational identity is an individual's view, recognition, and approval of his long-term occupation, and its importance to every professional is self-evident. Only when a professional person agrees with the profession he is engaged in from the…
In this paper, the distribution of methyl dibenzofuran isomers (MDBFs) in petroleum hydrocarbon samples of different ages and sedimentary environments were analyzed by the GC-MS method and relevant software. Relevant parameters of MDBFs were put into…
The traditional accounting model has obvious disadvantages: high cost, low efficiency, tedious work, and there is a large development space in the existing accounting system. This paper introduces the development process of cloud computing, and…
Existing architectures to handle big data in Oil & gas industry are based on industry-specific platforms and hence limited to specific tools and technologies.With these architectures, we are confined to big data single-provider solutions. The idea of…
There are abundant deep shale gas resources and their development prospect is promising. Reasonable horizontal well spacing can maximize single well productivity while producing inter-well reserves sufficiently. When field test and numerical…
In view of the facts that the traditional intangible assets value assessment method is not suitable for the evaluation of technical achievement value, the paper proposes a practical value evaluation method combined with the application of its nation…
With the rapid development of computer science and technology, the Chinese petroleum industry has ushered in the era of big data. In this study, by collecting fracturing data from 303 horizontal wells in the Fuling Shale Gas Demonstration Area in…
Big data processing frameworks such as Spark usually provide a large number of performance-related configuration parameters, how to auto-tune these parameters for a better performance has been a hot issue in academia as well as industry for years.…
The evaluation of gas well dynamic reserves is the basis of gas reservoir development potential analysis, technical policy-making, economic benefit evaluation. The low permeability gas reservoir has a small percolation capacity, long pressure…
With the in-depth application of big data technology in the field of oil exploration and production. However, the data quality issues have seriously hampered the use of big data. This paper analyzes the evaluation methods of data quality at home and…
In order to realize the balance between the designer's own hand-painted design and the large-scale batch standardized production mode of modern chemical plants in ceramic design, a CAD method for ceramic design creation based on mobile digital…
With the breakthrough and progress of shale oil and gas exploration, the strong heterogeneity of shale has been highly paid attention. Relying on the traditional geological methods, the classification of shale is difficult to meet the current needs…
Technological advancements in large industries like power, minerals, and manufacturing are generating massive data every second. Big data techniques have opened up numerous opportunities to utilize massive datasets in several effective ways to…
In the past decade, the amount of data in the petroleum industry has increased rapidly, and the demand for data mining has continued to increase. The method of big data analysis can more scientifically guide the exploration and development, oil…
Over the past years, frameworks such as MapReduce and Spark have been introduced to ease the task of developing big data programs and applications. However, the jobs in these frameworks are roughly defined and packaged as executable jars without any…