Topic Editors

School of Engineering, King's College, University of Aberdeen, Aberdeen AB24 3UE, UK
Department of Civil & Environmental Engineering, University of Alberta, Edmonton, AB, Canada

Enhanced Oil Recovery Technologies, 3rd Volume

Abstract submission deadline
31 December 2024
Manuscript submission deadline
31 March 2025
Viewed by
844

Topic Information

Dear Colleagues,

This Topic is a continuation of the previous successful Topic “Enhanced Oil Recovery Technologies, 2nd Volume” at https://www.mdpi.com/topics/EOR. For many years, there has been a clear trend of increasing energy demand. Despite the energy transition, oil and natural gas will remain the main energy sources for the next several dozen years. As the reservoir is depleted during primary recovery, oil recovery becomes increasingly difficult, even though the deposits are not yet completely recovered. Therefore, it is essential to develop innovative methods to increase oil recovery from known reservoirs. Enhanced oil recovery (EOR) has been considered the most promising technology to increase the recovery factor. This Topic has been proposed to international journals to further disseminate the results of basic research, laboratory investigations and field testing or implementation on the following topics:

  • Studies of fluids and interfaces in porous media;
  • Complex interfacial rheology and multiphase flow;
  • Fundamental research on surfactants and polymers;
  • Development of techniques for gas flooding (CO2, N2, foam, etc.);
  • Thermal recovery;
  • Emerging technologies, including smart water and microbial EOR;
  • Hybrid technology;
  • Related technologies, including carbon capture and sequestration (CCS);
  • Artificial intelligence/machine learning/deep learning applications in EOR techniques.

Dr. Jan Vinogradov
Dr. Ali Habibi
Topic Editors

Keywords

  • interfacial behavior
  • multiphase flow
  • wettability alteration
  • oil recovery factor
  • machine learning
  • unconventional resources

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Applied Sciences
applsci
2.7 4.5 2011 16.9 Days CHF 2400 Submit
Energies
energies
3.2 5.5 2008 16.1 Days CHF 2600 Submit
Geosciences
geosciences
2.7 5.2 2011 23.6 Days CHF 1800 Submit
Polymers
polymers
5.0 6.6 2009 13.7 Days CHF 2700 Submit
Processes
processes
3.5 4.7 2013 13.7 Days CHF 2400 Submit

Preprints.org is a multidiscipline platform providing preprint service that is dedicated to sharing your research from the start and empowering your research journey.

MDPI Topics is cooperating with Preprints.org and has built a direct connection between MDPI journals and Preprints.org. Authors are encouraged to enjoy the benefits by posting a preprint at Preprints.org prior to publication:

  1. Immediately share your ideas ahead of publication and establish your research priority;
  2. Protect your idea from being stolen with this time-stamped preprint article;
  3. Enhance the exposure and impact of your research;
  4. Receive feedback from your peers in advance;
  5. Have it indexed in Web of Science (Preprint Citation Index), Google Scholar, Crossref, SHARE, PrePubMed, Scilit and Europe PMC.

Published Papers (1 paper)

Order results
Result details
Journals
Select all
Export citation of selected articles as:
17 pages, 3219 KiB  
Article
Risk Assessment Method for Analyzing Borehole Instability Considering Formation Heterogeneity
by Xiangsen Gao, Min Wang, Xian Shi, Cui Li and Mingming Zhang
Processes 2024, 12(1), 70; https://doi.org/10.3390/pr12010070 - 28 Dec 2023
Viewed by 599
Abstract
In the study of borehole instability, the majority of input parameters often rely on the average values that are treated as fixed values. However, in practical engineering scenarios, these input parameters are often accompanied by a high degree of uncertainty. To address this [...] Read more.
In the study of borehole instability, the majority of input parameters often rely on the average values that are treated as fixed values. However, in practical engineering scenarios, these input parameters are often accompanied by a high degree of uncertainty. To address this limitation, this paper establishes a borehole stability model considering the uncertainty of input parameters, adopts the Monte Carlo method to calculate the borehole stability reliability at different drilling fluid densities, evaluates the sensitivity of borehole instability to a single parameter, and studies the safe drilling fluid density window at different borehole stability reliability values under multi-parameter uncertainties. The results show that the uncertainty of rock cohesion has a great influence on the fracture pressure of the vertical and horizontal wells. The minimum horizontal stress has the greatest influence on the fracture pressure of the vertical and horizontal wells, followed by pore pressure. In the analysis of borehole stability, the accuracy of cohesion and minimum horizontal stress parameters should be improved. In scenarios involving multiple parameter uncertainties, while the overall trend of the analysis results remains consistent with the conventional borehole stability outcomes, there is a noteworthy narrowing of the safe drilling fluid density window. This suggests that relying on conventional borehole stability analysis methods for designing the safe drilling fluid density window can considerably increase the risks of borehole instability. Uncertainty assessment is crucial to determine the uncertainties associated with the minimum required mud pressure, thereby ensuring more informed decision-making during drilling operations. To meet practical application demands, structure and boundary condition uncertainties should be implemented for a more comprehensive assessment of borehole stability. Full article
(This article belongs to the Topic Enhanced Oil Recovery Technologies, 3rd Volume)
Show Figures

Figure 1

Back to TopTop