Multiphase Flow Assurance in Porous Media and Production Operations

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Energy Systems".

Deadline for manuscript submissions: closed (28 February 2023) | Viewed by 3398

Special Issue Editors


E-Mail Website
Guest Editor
Centre for Sustainable Engineering, School of Computing, Engineering and Digital Technologies, Teesside University, Middlesbrough TS1 3BX, UK
Interests: hydraulic fracturing; risk evaluation of hydraulic fracturing; shale gas/tight sand; advanced EOR methods (smart water injection, low salinity water injection, CO2 injection); fluid flow in porous media; desalination; new methods in desalination reservoir rock/fluid interaction; polymer and biopolymer application in oil and gas wells; oil and gas reservoir modelling; rock surface characterization; carbonate; rock/chalk reservoirs; wettability alteration; carbon capture, storage, and utilization; H2 production with integrated CO2 capture; H2 storage (geological); geothermal nanotechnology application in oil and gas industry; electromagnetic EOR/wetting concept
Special Issues, Collections and Topics in MDPI journals
Dept. of Mathematical Modelling, Faculty of Mathematics and Natural Sciences, KTU, Kaunas, Lithuania
Interests: flow in porous media; subsurface data analytics; machine learning; discrete fracture network modelling; CCUS; Enhanced oil recovery; multiscale simulation; computational methods

E-Mail Website
Guest Editor
Petroleum Engineering, Texas A&M University at Qatar, Doha 23874, Qatar
Interests: multiphase flow in production systems; flow assurance; computational fluid dynamics modeling (ANSYS); alternative energy

E-Mail Website
Guest Editor
Department of Mechanical & Industrial Engineering, College of Engineering, Qatar University, Doha, Qatar
Interests: energy systems;turbomachinery; supercritical CO2 power cycle; CO2 and H2 transport; thermal-mechanical refrigeration; experimental fluid dynamics and heat transfer; CFD

Special Issue Information

Dear Colleagues,

The current technology related to flow assurance in the petroleum industry and its dependence on fossil fuel is in the substantial transformation to safe, benign, environmentally safe, and sustainable technology with the aid of automation, electrification, data analytics, and digital twin. Renewables or sustainable energy for the petroleum industry with the improved reliability, integrity, automation, and digitalization to obtain the net-zero carbon footprint is now essential for the future of the industry. The papers in the special issue will be focused on the new areas such as digital twin, automation, electrification, renewable energy, alternative energy, flowlines, pipelines and risers, facilities inspection and optimization, hydrogen economy transformation, utilization of cross-technologies, carbon neutrality, abandonment of facilities and so on. The consequences of the COVID-19 pandemic, global warming and rapid evolution of renewables have revealed the fact that the oil and gas industry is in real need of substantial transformation to embrace changes and to maintain its position as the vital energy source worldwide.

The objectives and goals of the proposed special issue are as follows:

(1) discuss the current state-of-the-art of multiphase flow, flow assurance, and alternative energy challenges in the oil and gas industry.

(2) describe current approaches to deal with multiphase flow and flow assurance issues.

(3) discuss known approaches that will not work currently. 

(5) integrate experts from the globe in the area of multiphase flow, flow assurance, and alternative energy.

We look forward to receiving high-quality manuscripts from you.

Sincerely,

Dr. Sina Rezaei-Gomari
Dr. Mayur Pal
Dr. Mohammad Azizur Rahman
Prof. Dr. Ahmad K. Sleiti
Guest Editors

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. Processes 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 2400 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

  • multiphase flow
  • production systems
  • porous media
  • computational fluid dynamics modeling
  • flow assurance
  • structural integrity
  • flow metering
  • alternative energy

Published Papers (2 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

14 pages, 1847 KiB  
Article
Water Invasion Prediction Method for Edge–Bottom Water Reservoirs: A Case Study in an Oilfield in Xinjiang, China
by Yanqing Ma, Baolei Liu, Xiaoli Liu, Congwen Wu, Shuai Pei, Yukun Chen and Jianglong Xiu
Processes 2023, 11(3), 919; https://0-doi-org.brum.beds.ac.uk/10.3390/pr11030919 - 17 Mar 2023
Viewed by 1017
Abstract
Clarifying the water invasion rule of edge and bottom water reservoirs can adjust the reservoir development mode and improve the recovery factor of edge and bottom water reservoirs in a timely manner. Influenced by the size of a reservoir water body, energy intensity [...] Read more.
Clarifying the water invasion rule of edge and bottom water reservoirs can adjust the reservoir development mode and improve the recovery factor of edge and bottom water reservoirs in a timely manner. Influenced by the size of a reservoir water body, energy intensity and reservoir seepage capacity, the change model of reservoir water influx basically belongs to the exponential growth model of the GM (1,1) model or the self-constraint growth model of the logistic model. The above two models are used to predict and analyze the water inflow of edge and bottom water reservoirs, respectively, and it is found that the change in water inflow of the reservoir with sufficient edge and bottom water energy is more consistent with the prediction results of the GM (1,1) model, but it has a large error compared to the prediction results of the logistic model. The change in water influx in the reservoir with insufficient edge and bottom water energy is consistent with the prediction results of the logistic model and GM (1,1) model. The research shows that the strength of edge and bottom water energy of the reservoir can be determined by analyzing the error of the logistic model in predicting water influx. If we focus on the change in reservoir water influx, the improved GM (1,1) model formed by a Newton parabola interpolation polynomial is used to optimize its background value, which can further improve the prediction accuracy and reduce the prediction error of water inflow of edge and bottom water reservoirs. The method in this paper has certain reference significance for studying the water invasion rule and energy intensity of edge and bottom water reservoirs. Full article
(This article belongs to the Special Issue Multiphase Flow Assurance in Porous Media and Production Operations)
Show Figures

Figure 1

14 pages, 3411 KiB  
Article
Experimental Verification of Reservoirs with Different Wettability Using an Oil–Water Relative Permeability Model
by Jianya Pei, Yunfeng Zhang, Jin Hu, Jian Zhang, Xiaomeng Zhu, Qiang Wang and Hua Gong
Processes 2022, 10(6), 1211; https://0-doi-org.brum.beds.ac.uk/10.3390/pr10061211 - 17 Jun 2022
Viewed by 1516
Abstract
Oil–water relative permeability is an important parameter that affects fluid flow in porous media. It is usually obtained in a laboratory. Since rock resistivity and relative permeability are both effects of water saturation, they should theoretically have a relationship. Based on the parallel [...] Read more.
Oil–water relative permeability is an important parameter that affects fluid flow in porous media. It is usually obtained in a laboratory. Since rock resistivity and relative permeability are both effects of water saturation, they should theoretically have a relationship. Based on the parallel conduction principle of fluid and skeleton in porous media, the pore structure and fluid distribution can be simplified using the Kozeny–Carman permeability correction equation and the Archie formula, and the relative permeability model of the water phase can be deduced under different wetting conditions. In this study, the resistivity and relative permeability experimental data of 20 rock samples from four inspection wells were compared and verified. The results show that the proposed oil–water relative permeability model agrees well with a reservoir having a porosity range of 17.6–30.7% and an air permeability of 0.16–973 × 10−3 μm, and it may explain why the relative permeability of the water phase decreases as water saturation increases. This model could provide a new technique to construct the relative permeability curves of sandstone reservoirs. Full article
(This article belongs to the Special Issue Multiphase Flow Assurance in Porous Media and Production Operations)
Show Figures

Figure 1

Back to TopTop