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JMSE
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Production Prediction in Onshore and Offshore Tight Reservoirs
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Production Prediction in Onshore and Offshore Tight Reservoirs

A special issue of Journal of Marine Science and Engineering (ISSN 2077-1312). This special issue belongs to the section "Geological Oceanography".

Deadline for manuscript submissions: closed (5 August 2024) | Viewed by 4978

Special Issue Editor

Prof. Dr. Gang Lei

E-Mail Website
Guest Editor
Faculty of Engineering, China University of Geosciences, Wuhan, China
Interests: fractured tight reservoir; stress-dependent permeability; fracture penetration extent; theoretical model
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In the last decade, with the rapid development and successful application of theoretical models, experimental techniques, and machine learning (ML) techniques in Petroleum Engineering, incredible progresses have been achieved in the production prediction of producers (fractured wells, multi-branch wells) in onshore and offshore tight reservoirs. This Special Issue intends to publish the latest progresses and achievements in research regarding the production prediction in onshore and offshore tight reservoirs through the use of methods, and their combinations, based on experimental techniques, theoretical models, and ML techniques. We invite papers concerning topics including, but not limited to, the following:

  • Reservoir evaluation and characterization of onshore and offshore tight reservoirs
  • Production prediction for various enhanced oil recovery (EOR) methods applied in onshore and offshore tight reservoirs
  • Experimental and numerical modeling of single and multiphase flows in onshore and offshore tight reservoirs
  • Advanced optimization algorithms for production prediction in onshore and offshore tight reservoirs
  • Machine learning and data science applied for the production prediction in onshore and offshore tight reservoirs

Prof. Dr. Gang Lei
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. Journal of Marine Science and Engineering is an international peer-reviewed open access monthly 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

  • onshore tight reservoirs
  • offshore tight reservoirs
  • enhanced oil recovery (EOR)
  • machine learning
  • data science

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Published Papers (3 papers)

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Research

23 pages, 2663 KiB  
Article
Evaluation of Thermal and Mechanical Properties of Foamed Phosphogypsum-Based Cementitious Materials for Well Cementing in Hydrate Reservoirs
by Jiadi Tang, Yusheng Zhao, Wan Cheng, Tianle Liu, Guokun Yang, Mingsheng Chen, Gang Lei, Jian Xu and Yongning Huang
J. Mar. Sci. Eng. 2024, 12(7), 1056; https://doi.org/10.3390/jmse12071056 - 23 Jun 2024
Cited by 1 | Viewed by 1114
Abstract
As detrimental byproduct waste generated during the production of fertilizers, phosphogypsum can be harmlessly treated by producing phosphogypsum-based cementitious materials (PGCs) for offshore well cementing in hydrate reservoirs. To be specific, the excellent mechanical properties of PGCs significantly promote wellbore stability. And the [...] Read more.
As detrimental byproduct waste generated during the production of fertilizers, phosphogypsum can be harmlessly treated by producing phosphogypsum-based cementitious materials (PGCs) for offshore well cementing in hydrate reservoirs. To be specific, the excellent mechanical properties of PGCs significantly promote wellbore stability. And the preeminent temperature control performance of PGCs helps to control undesirable gas channeling, increasing the formation stability of natural gas hydrate (NGH) reservoirs. Notably, to further enhance temperature control performance, foaming agents are added to PGCs to increase porosity, which however reduces the compressive strength and increases the risk of wellbore instability. Therefore, the synergetic effect between temperature control performance and mechanical properties should be quantitatively evaluated to enhance the overall performance of foamed PGCs for well cementing in NGH reservoirs. But so far, most existing studies of foamed PGCs are limited to experimental work and ignore the synergetic effect. Motivated by this, we combine experimental work with theoretical work to investigate the correlations between the porosity, temperature control performance, and mechanical properties of foamed PGCs. Specifically, the thermal conductivity and compressive strength of foamed PGCs are accurately determined through experimental measurements, then theoretical models are proposed to make up for the non-repeatability of experiments. The results show that, when the porosity increases from 6% to 70%, the 7 d and 28 d compressive strengths of foamed PGCs respectively decrease from 21.3 MPa to 0.9 MPa and from 23.5 MPa to 1.0 MPa, and the thermal conductivity decreases from 0.33 W·m−1·K−1 to 0.12 W·m−1·K−1. Additionally, an overall performance index evaluation system is established, advancing the application of foamed PGCs for well cementing in NGH reservoirs and promoting the recycling of phosphogypsum. Full article
(This article belongs to the Special Issue Production Prediction in Onshore and Offshore Tight Reservoirs)
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25 pages, 27938 KiB  
Article
Pore Pressure Prediction for High-Pressure Tight Sandstone in the Huizhou Sag, Pearl River Mouth Basin, China: A Machine Learning-Based Approach
by Jin Feng, Qinghui Wang, Min Li, Xiaoyan Li, Kaijin Zhou, Xin Tian, Jiancheng Niu, Zhiling Yang, Qingyu Zhang and Mengdi Sun
J. Mar. Sci. Eng. 2024, 12(5), 703; https://doi.org/10.3390/jmse12050703 - 24 Apr 2024
Cited by 5 | Viewed by 2123
Abstract
A growing number of large data sets have created challenges for the oil and gas industry in predicting reservoir parameters and assessing well productivity through efficient and cost-effective techniques. The design of drilling plans for a high-pressure tight-sand reservoir requires accurate estimations of [...] Read more.
A growing number of large data sets have created challenges for the oil and gas industry in predicting reservoir parameters and assessing well productivity through efficient and cost-effective techniques. The design of drilling plans for a high-pressure tight-sand reservoir requires accurate estimations of pore pressure (Pp) and reservoir parameters. The objective of this study is to predict and compare the Pp of Huizhou Sag, Pearl River Mouth Basin, China, using conventional techniques and machine learning (ML) algorithms. We investigated the characteristics of low-permeability reservoirs by observing well-logging data sets and cores and examining thin sections under a microscope. In the reservoir zone, the average hydrocarbon saturation is 55%, and the average effective porosity is 11%. The tight sandstone reservoirs consist of fine- to extremely fine-grained argillaceous feldspathic sandstone. The mean absolute error for reservoir property prediction is 1.3%, 2.2%, and 4.8%, respectively, for effective porosity, shale volume, and water saturation. Moreover, the ML algorithm was employed to cross-check the validity of the prediction of Pp. Combining conventional and ML techniques with the core data demonstrates a correlation coefficient (R2) of 0.9587, indicating that ML techniques are the most effective in testing well data. This study shows that ML can effectively predict Pp at subsequent depths in adjacent geologically similar locations. Compared to conventional methods, a substantial data set and ML algorithms improve the precision of Pp predictions. Full article
(This article belongs to the Special Issue Production Prediction in Onshore and Offshore Tight Reservoirs)
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17 pages, 10728 KiB  
Article
Pressure Analysis of Onshore and Offshore Shale Gas Reservoirs under Constant-Rate Condition Considering Thin Sandstone Layer and Interlayer Cross-Flow
by Shiming Wei and Kaixuan Qiu
J. Mar. Sci. Eng. 2024, 12(3), 457; https://doi.org/10.3390/jmse12030457 - 6 Mar 2024
Cited by 1 | Viewed by 1133
Abstract
The extraction of shale gas from onshore and offshore shale gas reservoirs will play an important role in meeting China’s future energy needs, which will not only help alleviate the energy crisis but also contribute to climate change mitigation. As for the target [...] Read more.
The extraction of shale gas from onshore and offshore shale gas reservoirs will play an important role in meeting China’s future energy needs, which will not only help alleviate the energy crisis but also contribute to climate change mitigation. As for the target shale formation enriched by thin sandstone layers in typical basins, an analytical calculation method is proposed to perform pressure analysis for multi-layer shale gas reservoirs considering the adsorption–desorption characteristics of shale layer and the interlayer cross-flow. Firstly, the changes in storage capacity and flow resistance are obtained by using the distance of investigation equation. According to the electrical analogy, the equivalent total storage capacity and flow resistance can be calculated considering the sandstone-shale crossflow. Because production from one time step to the other causes depletion of the storage capacity, the reservoir pressure in different time steps can be calculated based on the material balance equation. Numerical models have been constructed based on three typical reservoir lithology combinations (sandstone-shale, shale-sandstone-shale and sandstone-shale-sandstone) to validate the accuracy of the proposed analytical calculation method. Furthermore, three important factors (porosity, the ratio of horizontal/vertical permeability (kh/kv) and the layer thickness) have been selected for the sensitivity analysis to verify the stability. The comparative results indicate that the proposed analytical calculation method is suitable for pressure analysis in shale gas reservoirs containing thin sandstone layers. It will provide theoretical support for the further enhancement of the production of this type of gas reservoirs. Full article
(This article belongs to the Special Issue Production Prediction in Onshore and Offshore Tight Reservoirs)
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