Evidence map›Paper›PMID 39875556›Full record

ArticleScientific reports2025

Prediction model and real-time diagnostics of hydraulic fracturing pressure for highly deviated wells in deep oil and gas reservoirs.

Lingdong Meng, Xiaoling Zhang, Yejun Jin, Kun Yan, Ziyang Li, Hailong Fu, Song Li

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

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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

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Lingdong MengSchool of Earth Sciences, Northeast Petroleum University, Daqing, 163318, China.
Xiaoling ZhangSchool of Earth Sciences, Northeast Petroleum University, Daqing, 163318, China. zhangxiaoling@faps.com.cn.
Yejun JinSchool of Earth Sciences, Northeast Petroleum University, Daqing, 163318, China.
Kun YanKey Laboratory of Enhanced oil Recovery (Northeast Petroleum University), Ministry of Education, Daqing, 163318, China.
Ziyang LiSchool of Earth Sciences, Northeast Petroleum University, Daqing, 163318, China.
Hailong FuBohai-rim Energy Institute, Northeast Petroleum University, Tianjin, 300450, China.
Song LiEngineering Research Institute of PetroChina Southwest Oil and Gas field Company, Chengdu, 610017, China.

Funding

National Key Research and Development Program of China 2022YFE0206800Northeast Petroleum University Youth Fund Grant No. 2019QNL-01
6 · The paper itself

Abstract

It is a common occurrence in the fracture processes of deep carbonate reservoirs that the fracturing construction pressure during hydraulic fracturing operation exceeds 80 MPa. The maximum pumping pressure is determined by the rated pressure of the pumping pipe equipment and the reservoir characteristics, which confine the fracture to the target area. When the pump pressure exceeds the safety limit, hydraulic fracturing has to reduce the construction displacement to prevent potential accidents caused by overpressure. Therefore, real-time prediction of the fracturing construction pressure and diagnosis of abnormal fluctuations during hydraulic fracturing of highly deviated wells are indispensable. Based on the well trajectory, pumping process, and string structure of highly deviated wells, a movement interface model for the fracturing fluid at different stages within the wellbore has been established, using the method of computational fluid dynamics. This model analyzes the fluid movement behavior with diverse properties at various fracturing times and determines the relationship between the pressure changes at the leading and trailing edges of fluid movement in each section of the wellbore over time by combining different string structures and preset pumping procedures. The frictional pressure within the wellbore fluid, the hydrostatic fluid pressure, and the near-well friction drags have been calculated and predicted. A real-time prediction model for diagnosing pumping fracturing has been constructed to further comprehend "abnormal" fracturing construction pressures in highly deviated wells. This offers a theoretical foundation for the correct diagnosis and decision-making regarding hydraulic fracturing in highly deviated wells while guiding its smooth implementation in real time.

Indexed as

Abnormal pressure diagnosisFluid moving interface modelHighly deviated wellHydraulic fracturingPressure prediction model

Identifiers

PMID39875556
PMCPMC11775148

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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.