Browse Items (58 total)

  • Tags: Regression analysis

The shear velocity is one of the most critical parameters in determining the mechanical rock elastic properties, which serve as inputs for different studies such as wellbore stability, mechanical earth modeling, hydraulic fracturing, and reservoir…

With Managed Pressure Drilling (MPD) getting more common, its rubber seals increasingly become a source of potential downtime during drilling operations. The common approach is to provide monitoring towards relevant stakeholders via expert…

The shear velocity is one of the most critical parameters in determining the mechanical rock elastic properties, which serve as inputs for different studies such as wellbore stability, mechanical earth modeling, hydraulic fracturing, and reservoir…

With Managed Pressure Drilling (MPD) getting more common, its rubber seals increasingly become a source of potential downtime during drilling operations. The common approach is to provide monitoring towards relevant stakeholders via expert…

Cloud computing has strong computing power and huge storage space. Machine learning algorithm, combining with cloud computing, makes the processing of large-scale data practical. Logistic regression algorithm is a widely popular machine…

The shear velocity is one of the most critical parameters in determining the mechanical rock elastic properties, which serve as inputs for different studies such as wellbore stability, mechanical earth modeling, hydraulic fracturing, and reservoir…

With Managed Pressure Drilling (MPD) getting more common, its rubber seals increasingly become a source of potential downtime during drilling operations. The common approach is to provide monitoring towards relevant stakeholders via expert…

Cloud computing has strong computing power and huge storage space. Machine learning algorithm, combining with cloud computing, makes the processing of large-scale data practical. Logistic regression algorithm is a widely popular machine…

Hydrocarbon production from shale formation has become an essential part of the global energy supply in the past decade. The life of a project in an unconventional play significantly depends on the prediction of Estimated Ultimate Recovery (EUR).…

Cloud computing has strong computing power and huge storage space. Machine learning algorithm, combining with cloud computing, makes the processing of large-scale data practical. Logistic regression algorithm is a widely popular machine…

Hydrocarbon production from shale formation has become an essential part of the global energy supply in the past decade. The life of a project in an unconventional play significantly depends on the prediction of Estimated Ultimate Recovery (EUR).…

Shale hydrocarbon production has become an increasingly important part of global oil and gas supply during the past decade. The life of projects in unconventional plays, such as shale oil and gas, tight oil and gas, coal bed methane etc., heavily…

Modern water networks from municipal network to building networks are plagued with the threat of leaks. Leaks create a significant amount of loss of resources. Pressurized water pipelines are more susceptible due to the high pressure at which water…

For the petroleum industry in the big data period, it is necessary to fully exploit the great potential value of big data in the petroleum industry. Although data mining has achieved remarkable results in many industries, its application in the field…

Shale hydrocarbon production has become an increasingly important part of global oil and gas supply during the past decade. The life of projects in unconventional plays, such as shale oil and gas, tight oil and gas, coal bed methane etc., heavily…

Hydrocarbon production from shale formation has become an essential part of the global energy supply in the past decade. The life of a project in an unconventional play significantly depends on the prediction of Estimated Ultimate Recovery (EUR).…

Modern water networks from municipal network to building networks are plagued with the threat of leaks. Leaks create a significant amount of loss of resources. Pressurized water pipelines are more susceptible due to the high pressure at which water…

The shear velocity is one of the most critical parameters in determining the mechanical rock elastic properties, which serve as inputs for different studies such as wellbore stability, mechanical earth modeling, hydraulic fracturing, and reservoir…

With Managed Pressure Drilling (MPD) getting more common, its rubber seals increasingly become a source of potential downtime during drilling operations. The common approach is to provide monitoring towards relevant stakeholders via expert…

Cloud computing has strong computing power and huge storage space. Machine learning algorithm, combining with cloud computing, makes the processing of large-scale data practical. Logistic regression algorithm is a widely popular machine…

The shear velocity is one of the most critical parameters in determining the mechanical rock elastic properties, which serve as inputs for different studies such as wellbore stability, mechanical earth modeling, hydraulic fracturing, and reservoir…

With Managed Pressure Drilling (MPD) getting more common, its rubber seals increasingly become a source of potential downtime during drilling operations. The common approach is to provide monitoring towards relevant stakeholders via expert…

Standard regression techniques model only the mean of the response variable. Quantile regression (QR) is more powerful in that it depicts a comprehensive relationship between the response variable and independent covariates at different quantiles. It…

Modern water networks from municipal network to building networks are plagued with the threat of leaks. Leaks create a significant amount of loss of resources. Pressurized water pipelines are more susceptible due to the high pressure at which water…

This work assesses the applicability of reflectance spectroscopy to monitor petroleum hydrocarbon (PHC) leaks in petroleum facilities using the direct detection of the pollutant in bare soils. A controlled, lab-scale experiment is conducted, where…

Established petroleum energy system comprises primary energy, conversion, transportation & distribution through to the final petroleum useful sectors. And disparate literature in such industry may not contribute to future research direction and…

Wax deposition in production pipelines and transportation tubing from offshore to onshore is critical in the petroleum industry due to low-temperature conditions. The most significant popular approach to solve this issue is by inserting a wax…

The present work focuses on the improvement of flow properties during the transportation of heavy oil via 0.0254-, 0.0381-, and 0.0508-m-diameter pipelines. The effect of temperature, water cut, natural extract Madhuca Longifolia (ML), and potato…

During the sequential transportation of refined oil pipelines, mixed oil in the intersection area of two different types of oil needs to be identified and cut. Therefore, prediction of the length of the mixed oil (LMO) is significant for scheduling…

The safety of crude oil tankers is always a focus under the rapid development of oil trade and maritime transportation. The purpose of this study is to investigate the critical factors that lead to crew casualties and address the hot spot…

This paper employs the mixed frequency vector autoregression (MF-VAR) to discuss the causal link between crude oil dependence and military expenditure in China. The empirical results demonstrate that the crude oil dependence Granger causes military…

This paper employs the mixed-frequency vector autoregression (MF-VAR) to assess the causal relationship between geopolitical risk (GPR) and crude oil security (COS) for China. In contrast to prior papers, we regard GPR as an independent variable…

Upgrading heavy crude oil from East of Baghdad oilfield using a high pressure reactor with steam supplied and toluene as hydrogen donor has been investigated through aquathermolysis process. Synthesized Zn/HY Zeolite, which is characterized by XRD,…

This study describes the optimization of the biodegradation of total aliphatic (tAHCs), total aromatic (tPAHs), and unresolved complex mixture (UCM) hydrocarbons from light crude oil in marine sediment. The response surface methodology (RSM), with a…

Energy consumption from central heating has rapidly increased in the cities of the North China Plain (NCP). The increasing use of natural gas in the central heating supply system may have altered the spatial and temporal patterns of CO2 emissions…

Determining the physicochemical properties of petroleum is important for rapid decision-making during the production process. True boiling point (TBP) curve is the most important parameter in the petroleum characterization. However, the TBP can be…

High-pressure direct-injection (HPDI) natural gas engines continue to draw much attention for the highly efficient and clean combustion process compared to traditional diesel engines. However, the real ignition processes of HPDI natural gas engines…

Orifice Flow meter (OFM) is widely used for measuring the flow in industry. However, in many cases, the measurement value of OFM some times will differ from the other meter, for instance Ultrasonic Meter (USM), that also measure the flow of the same…

The methane/n-heptane/iso-octane/cyclohexane/toluene mixture was selected as the surrogate model of liquefied natural gas-diesel dual fuel, and a detailed reaction mechanism consisting of 1 425 species and 5 597 reactions was established. A reduced…

Sulfur isotope ratios are among the most commonly studied isotope systems in geochemistry. While sulfur isotope ratio analyses of materials such as bulk rock samples, gases, and sulfide grains are routinely carried out, in-situ analyses of silicate…

Natural gas is an important source of energy in the global economy, hence understanding the drivers of its prices is of significant interest for economic agents. This paper investigates the role of structural shocks for the dynamics of the U.S.…

Multivariate optical computing (MOC) is a compressed sensing technique enabling the measurement of analytes in a complex interfering mixture under harsh conditions. In this work, we describe the design, modeling, fabrication, and validation of a…

Petroleum exploration and production is an industry that provides researchers with multi-variant challenging "real world" properties. Recently, some petroleum soft computing techniques have gained a greater interest in prediction within the oil…

Reservoir permeability is a crucial parameter for reservoir characterization and the estimation of current and future production from hydrocarbon reservoirs. Permeability can be conventionally estimated from traditional approaches such as core…

In this paper we propose a three-step approach to predict permeability. First, by using Electrofacies Analysis (EA), data are classified into several clusters. We take advantage of EA to overcome abrupt changes of permeability which its…

The traditional petroleum reservoir modeling workflow for reservoir characterization, history matching, and field development optimization requires a significant amount of computation during reservoir simulation and post-processing. In this work, we…

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…

For determining the hydrocarbon accumulation ages of Sulige gas field in the Ordos basin, porefilling clay materials were extracted from reservoir sandstones and separated into frictions of 0.5, 0.5-1.0 and 1.0-2.0 m, then 40Ar39Ar dating of illite…
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