Airborne Volatile organic compounds (VOCs) are known to have strong and adverse impacts on human health and the environment by contributing to the formation of tropospheric ozone. VOCs can escape during various stages of crude oil processing, from…
Ferronickel contains 60–80 wt% Fe and 40–20 wt% Ni and is a feedstock for manufacturing stainless steel and other ferrous alloys. The primary pyrometallurgical route to produce ferronickel from laterite nickel ores is the Rotary Kiln-Electric Furnace…
The accurate quantification of the secondary porosity portion and the characterization of the macro-porous features seem achievable only through extensive logging services and lengthy coring campaigns. Traditional logging measurements have…
The use of Nuclear Magnetic Resonance (NMR) logs for petrophysical interpretation and evaluation in the oil and gas industry has increased in recent decades, especially in Brazil, where the use of this technology was increased by more than 400% from…
With the rapid development in speed and quality of the economy in China, petroleum energy, as one of the main energy sources in today’s human society, has increasingly demonstrated its status. At the same time, petroleum transportation as an…
With the rapid development in speed and quality of the economy in China, petroleum energy, as one of the main energy sources in today’s human society, has increasingly demonstrated its status. At the same time, petroleum transportation as an…
Airborne Volatile organic compounds (VOCs) are known to have strong and adverse impacts on human health and the environment by contributing to the formation of tropospheric ozone. VOCs can escape during various stages of crude oil processing, from…
The accurate quantification of the secondary porosity portion and the characterization of the macro-porous features seem achievable only through extensive logging services and lengthy coring campaigns. Traditional logging measurements have…
The use of Nuclear Magnetic Resonance (NMR) logs for petrophysical interpretation and evaluation in the oil and gas industry has increased in recent decades, especially in Brazil, where the use of this technology was increased by more than 400% from…
Decision making in new fields with little data available relies heavily on physics-based simulation models. However, due to a lack of full understanding of the physical processes governing flow in the unconventional resources, data-driven modeling…
Production allocation from petroleum geochemistry is defined here as the quantitative determination of the amount or portion of a commingled fluid to be assigned to two or more individual fluid sources (e.g., a pipeline, field, reservoir, well) at a…
The present study aims to improve the efficiency of typical procedures used for post-processing flow field data by applying a neural-network technology. Assuming a problem of aircraft design as the workhorse, a regression calculation model for…
This paper describes the data-driven machine learning modeling of the spatial distribution of geophysical parameters in petroleum and gas reservoirs. Multiple kernel learning methods are used to integrate geological information with multi-scale…
Yu1 interval is one of the most well studied reservoirs in Ob River Region (West Siberia). OWC (Oil water contact) variation is one of the main feature in Yu1 fields and it is still poorly understood. The absence of single concept that could explain…
Leakage of oil and gas is associated with significant calcite cementation in the overburden of the Frigg Gamma Field. This cementation makes seismic imaging of the field with conventional streamer seismic extremely challenging. Different approaches…
In order to meet the demand of real-time data acquisition and analysis in the process of digital PCR detection, this paper proposes a high-speed data acquisition system and design scheme based on FPGA. The system uses FPGA as the signal acquisition…
The study aims to evaluate ground deformations in a vast area characterized by the coexistence of intense anthropic activities and offshore natural gas production. Onshore subsidence can be studied by GNSS, InSAR, high precision leveling and…
Natural Language Processing (NLP) is a branch of Artificial Intelligence that deals with information extraction by representing and interpreting written and spoken human language in various forms. In the last decade, the drilling industry has…
Gas turbine driven centrifugal compressors often undergo a detailed performance analysis either for the acceptance by the user or to evaluate their existing condition. Often , the tests are conducted at site, where the compressor and its driver must…
Abstract: Using the 1H NMR examination of a representative set of crude oils (86 samples, 54 oil fields and exploration areas) from the North Caucasus oil-and-gas basin, we obtained, for the first time, the structural-group composition of crude oils…
Crude oil spills near oilfields, a continuous threat to the surrounding soil security and ecological environment, are attracting increased environmental monitoring and protection. There is an urgent need to improve the existing methods for…
Traditional gas compressibility factor estimation methods such as AGA8-92DC and SGERG-88 usually use overly complex theoretical derivation and corresponding estimation model. This will cost most of the operating memory of the low-power gas flowmeter.…
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…
To promote adaptation of logging evaluation technologies to the development trend of unconventional oil and gas exploration and development era in China, the current situation and challenges of logging evaluation technologies in China are analyzed…
Estimating the ultimate storage capacity of deep saline aquifers is important to address the formation potential to store the envisioned large volumes of CO2. Injection data (i.e. injection rate, bottomhole pressure, and cumulative injected volume of…
Recently, the oil and gas industry started to experience a major evolution that could impact the geophysical community for decades. The effort to reduce greenhouse gas emissions will lead to more renewable energy and less fossil fuel consumption. In…
A method for identifying straits of rocket kerosene (RG-1 and T-1 brands) and various types of hydrocarbon fuels (aviation fuel TC-1 and diesel fuel) in soil has been developed. The proposed version of identification is based on the preliminary…
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…
With the rapid development in speed and quality of the economy in China, petroleum energy, as one of the main energy sources in today’s human society, has increasingly demonstrated its status. At the same time, petroleum transportation as an…
This study investigated the petroleum consumption and petroleum-related CO2 emissions (PCOEs) in Northeast China at city level using material flow analysis (MFA) and spatial data analysis (SDA). The petroleum flows for the year 2014 were plotted, and…
Petroleum industries' big data characterize heterogeneity and they are often multidimensional in nature. In the recent past, explorers narrate petroleum system, as an ecosystem, in which elements and processes are constantly interacted and…
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…
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 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 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…
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.…
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…
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 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 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…
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…
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…
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…
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…
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…
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 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…
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…
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…
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…