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Coal, Oil and Gas: Lastest Advances and Propects
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Coal, Oil and Gas: Lastest Advances and Propects

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "H: Geo-Energy".

Deadline for manuscript submissions: 20 May 2025 | Viewed by 4961

Special Issue Editor

Dr. Zhengbin Wu

E-Mail Website
Guest Editor
School of Energy Resources, China University of Geosciences, Wuhan 430074, China
Interests: tight/shale oil; CO2; molecular dynamics; fracturing; numerical simulation; EOR
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Given the continuous increase in global energy demands and the many uncertainties surrounding energy supply, unconventional resources will continue to play a crucial role during the energy transition process. One should pay special attention not only to the stability and availability of unconventional resources but also to the development of transformational technologies for unconventional resource systems that will contribute to oil and gas development. 

Considering all the above, we propose a Special Issue with the title “Coal, Oil and Gas: Latest Advances and Prospects”. This Special Issue will primarily cover papers in coal, oil, and gas extraction while highlighting theoretical, technological, and practical developments and improvements in the literature in these areas. We welcome manuscripts at subnational, national, or international levels, as well as those from legal, ethical, and social aspects. No methodology constraints will be applied. Innovative technologies and methods are especially encouraged.

Topics of interest for publication include, but are not limited to, the following:

  • The evaluation of the CBM/shale oil/shale gas reservoir;
  • CBM/shale oil/shale gas geological engineering integrated evaluation;
  • Distribution, mode of occurrence, and enrichment mechanisms of critical metals in coal and coal-bearing sequences;
  • Theories and techniques for the sustained exploitation of CBM/shale oil/shale gas;
  • Case studies of CBM/shale oil/shale gas reservoirs.

Dr. Zhengbin Wu
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • CBM
  • shale oil/gas
  • geological characteristics
  • numerical simulation
  • EOR

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Published Papers (4 papers)

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Research

16 pages, 2788 KiB  
Article
Calculation of Crude Oil Processes Using Simplified Model Mixture
by Roman Krzywda, Paweł Gierycz, Łukasz Makowski and Artur Poświata
Energies 2024, 17(23), 6025; https://doi.org/10.3390/en17236025 - 29 Nov 2024
Viewed by 573
Abstract
This paper presents the modeling of the existing crude oil separation process in a system consisting of two rectification columns with side drafts operating at higher pressure. The composition of the crude oil was approximated by a model mixture of hydrocarbons. The installation [...] Read more.
This paper presents the modeling of the existing crude oil separation process in a system consisting of two rectification columns with side drafts operating at higher pressure. The composition of the crude oil was approximated by a model mixture of hydrocarbons. The installation calculations have been performed for two different model compositions containing 32 and 10 different hydrocarbons. The whole technological process was based on the assumption that the feed stream, containing a model crude oil, was introduced to the first column, and then the other expected products (different petroleum fractions), characterized by their respective boiling points, were collected (side drafts) from the appropriate trays of the distillation columns. The obtained calculation results for both of the model crude oils were compared with the results obtained in the existing petroleum process and discussed from the point of view of their practical applications. The detailed data concerning size, composition, and process parameters for all the streams of the investigated installations, as well as the necessary energy expenditure for each of the columns, have been determined. Moreover, some recommendations are presented for the modeling and optimization of industrial distillation processes of very complex, multi-component systems using simpler model compositions. Full article
(This article belongs to the Special Issue Coal, Oil and Gas: Lastest Advances and Propects)
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20 pages, 11748 KiB  
Article
Numerical Study on the Influence of Various Design Variables on the Behavior Characteristics of Oil and Gas in Internal Floating Roof Tanks
by Ji-Chao Li, Ming Liu, Shi-Wang Dang, Ling-Chong Hu, Guang Chen, Sheng-Dong Zhang, Xiang-Hu Kong and Heng Xu
Energies 2024, 17(17), 4336; https://doi.org/10.3390/en17174336 - 29 Aug 2024
Viewed by 881
Abstract
With the development of the petrochemical industry, the number of storage tanks has continuously increased, exacerbating the issue of oil evaporation losses. Therefore, it is urgent to find efficient and economical measures to reduce oil evaporation losses. This paper establishes a diffusion model [...] Read more.
With the development of the petrochemical industry, the number of storage tanks has continuously increased, exacerbating the issue of oil evaporation losses. Therefore, it is urgent to find efficient and economical measures to reduce oil evaporation losses. This paper establishes a diffusion model for internal floating roof tanks (IFRTs) and uses numerical simulation methods to study the mass fraction distribution, pressure distribution, and the variation patterns of oil vapor inside the tanks at different floating roof heights. The results show that the closer to the top of the tank, the lower the oil vapor mass fraction, and the mass fraction distribution is almost symmetrical. As the floating roof height decreases, the vapor mass fraction in the mixed gas region inside the tank gradually decreases, showing a distribution below the lower explosive limit (LEL), indicating improved safety. Furthermore, the study found that in the benchmark model, the behavior characteristics of gasoline vapor are reflected in the changes in mass fraction, velocity, and pressure distribution, where the oil vapor concentration in the upper part is lower but evenly distributed. By comparing the behavior characteristics of oil vapor inside the tank at different floating roof heights, it was found that the floating roof height significantly affects the diffusion and accumulation of oil vapor. The presence of vents effectively reduces the accumulation of oil vapor concentration, improving the stability and safety inside the tank. For different floating roof height scenarios (such as CASE 1, CASE 2, and CASE 4), the oil vapor behavior characteristics are similar. The study results provide important theoretical support for the future development of oil vapor recovery technologies and the design of enclosed energy-saving recovery devices inside tanks, indicating that optimizing the floating roof height and vent system design can significantly reduce oil evaporation losses. Full article
(This article belongs to the Special Issue Coal, Oil and Gas: Lastest Advances and Propects)
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22 pages, 12194 KiB  
Article
Advancing Reservoir Evaluation: Machine Learning Approaches for Predicting Porosity Curves
by Nafees Ali, Xiaodong Fu, Jian Chen, Javid Hussain, Wakeel Hussain, Nosheen Rahman, Sayed Muhammad Iqbal and Ali Altalbe
Energies 2024, 17(15), 3768; https://doi.org/10.3390/en17153768 - 31 Jul 2024
Cited by 5 | Viewed by 1052
Abstract
Porosity assessment is a vital component for reservoir evaluation in the oil and gas sector, and with technological advancement, reliance on conventional methods has decreased. In this regard, this research aims to reduce reliance on well logging, purposing successive machine learning (ML) techniques [...] Read more.
Porosity assessment is a vital component for reservoir evaluation in the oil and gas sector, and with technological advancement, reliance on conventional methods has decreased. In this regard, this research aims to reduce reliance on well logging, purposing successive machine learning (ML) techniques for precise porosity measurement. So, this research examines the prediction of the porosity curves in the Sui main and Sui upper limestone reservoir, utilizing ML approaches such as an artificial neural networks (ANN) and fuzzy logic (FL). Thus, the input dataset of this research includes gamma ray (GR), neutron porosity (NPHI), density (RHOB), and sonic (DT) logs amongst five drilled wells located in the Qadirpur gas field. The ANN model was trained using the backpropagation algorithm. For the FL model, ten bins were utilized, and Gaussian-shaped membership functions were chosen for ideal correspondence with the geophysical log dataset. The closeness of fit (C-fit) values for the ANN ranged from 91% to 98%, while the FL model exhibited variability from 90% to 95% throughout the wells. In addition, a similar dataset was used to evaluate multiple linear regression (MLR) for comparative analysis. The ANN and FL models achieved robust performance as compared to MLR, with R2 values of 0.955 (FL) and 0.988 (ANN) compared to 0.94 (MLR). The outcomes indicate that FL and ANN exceed MLR in predicting the porosity curve. Moreover, the significant R2 values and lowest root mean square error (RMSE) values support the potency of these advanced approaches. This research emphasizes the authenticity of FL and ANN in predicting the porosity curve. Thus, these techniques not only enhance natural resource exploitation within the region but also hold broader potential for worldwide applications in reservoir assessment. Full article
(This article belongs to the Special Issue Coal, Oil and Gas: Lastest Advances and Propects)
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23 pages, 8663 KiB  
Article
CO2 Storage Site Analysis, Screening, and Resource Estimation for Cenozoic Offshore Reservoirs in the Central Gulf of Mexico
by Xitong Hu, Rupom Bhattacherjee, Kodjo Botchway, Jack C. Pashin, Goutam Chakraborty and Prem Bikkina
Energies 2024, 17(6), 1349; https://doi.org/10.3390/en17061349 - 12 Mar 2024
Cited by 1 | Viewed by 1733
Abstract
The storage potential of hydrocarbon reservoirs in the central Gulf of Mexico (GOM) makes future development of CO2 storage projects in those areas promising for secure, large-scale, and long-term storage purposes. Focusing on the producing and depleted hydrocarbon fields in the continental [...] Read more.
The storage potential of hydrocarbon reservoirs in the central Gulf of Mexico (GOM) makes future development of CO2 storage projects in those areas promising for secure, large-scale, and long-term storage purposes. Focusing on the producing and depleted hydrocarbon fields in the continental slope of the central GOM, this paper analyzed, assessed, and screened the producing sands and evaluated their CO2 storage potential. A live interactive CO2 storage site screening system was built in the SAS® Viya system with a broad range of screening criteria combined from published studies. This offers the users a real-time assessment of the storage sites and enables them to adjust the filters and visualize the results to determine the most suitable filter range. The CO2 storage resources of the sands were estimated using a volumetric equation and the correlation developed by the National Energy Technology Laboratory (NETL). The results of this study indicate that 1.05 gigatons of CO2 storage resources are available in the developed reservoirs at the upper slope area of the central GOM. The Mississippi Canyon and Green Canyon protraction areas contain the fields with the largest storage resources. Full article
(This article belongs to the Special Issue Coal, Oil and Gas: Lastest Advances and Propects)
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