ArticleACS omega2025
Production-Increase Potential Evaluations after Refracturing Low-Shale-Oil-Producing Wells via Machine-Learning-Driven Multisource Data Mining.
Article in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
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.
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Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As shale reservoir development progresses, the share of low-producing horizontal wells grows, and the need for repeated-fracturing technology becomes more essential. Accurately evaluating the production potential is crucial for determining the efficacy of refracturing. This work proposes a novel method for assessing the repeated-fracturing potential of low-producing horizontal wells that combines the fine screening of important controlling parameters with an optimized XGBoost algorithm (
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Registered trials
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