Evidence map›Paper›PMID 38114605›Full record

ArticleScientific reports2023

CFD estimation of gas production in tight carbonates using single and dual-porosity models.

Syed Oubee Khadri, Ibnelwaleed A Hussein, Fadhil Sadooni, Ezeddin Shirif

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 47% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 2 countries.

Syed Oubee KhadriGas Processing Center, Qatar University, P.O. Box 2713, Doha, Qatar.
Ibnelwaleed A HusseinGas Processing Center, Qatar University, P.O. Box 2713, Doha, Qatar. ihussein@qu.edu.qa.
Fadhil SadooniEnvironmental Science Center, Qatar University, P. O. Box 2713, Doha, Qatar.
Ezeddin ShirifProgram of Petroleum Systems Engineering, University of Regina, Regina, SK, S4S 0A2, Canada. Ezeddin.Shirif@uregina.ca.
Qatar University · QAPetroleum Technology Research Centre · CA

Funding

Qatar National Research Fund NPRP11S-1228-170138Qatar National Research Fund NPRP12S-0305-190235
6 · The paper itself

Abstract

Tight Carbonate reservoirs are regarded as one of the most complex reservoir formations due to the heterogeneity and complexity of their mineral composition, pore structure, and storage model. It is uncommon to study the implementation of a transport model appropriate for such formation. Recent studies focused on tight reservoirs and developed models for shale or coal bed methane reservoirs. This study proposes a single and dual-porosity transport model that solely considers the tight matrix and acidized region to shed light on the transport models for tight carbonates. The numerical model included the effect of transport mechanisms such as Knudsen diffusion, desorption, and viscous flow. The proposed transport model includes the apparent permeability model defining these transport mechanisms. Finite element method analysis was conducted on the numerical model using COMSOL Multiphysics. Due to the presence of nanopores in both shale and tight Carbonate, transport models proposed for the former can be utilized to determine the fluid flow behavior in the latter. The adsorption isotherm, rock density, pore structure, porosity, and permeability of the tight carbonate reservoir, which contrasted with the shale results, were the defining features of the reservoir used in the transport model. The dual-porosity model yielded a peak production of 104,000 m

Identifiers

PMID38114605
PMCPMC10730542
OpenAlexW4389947940

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.