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Experimental measurement and modeling of water-based drilling mud density using adaptive boosting decision tree, support vector machine, and K-nearest neighbors: A case study from the South Pars gas field
Research article (Journal of Petroleum Science and Engineering, 2021) · cited 46× · AI/ML
Experimental measurement and modeling of water-based drilling mud density using adaptive boosting decision tree, support vector machine, and K-nearest neighbors: A case study from the South Pars gas field
Summary
Experimental measurement and modeling of water-based drilling mud density using adaptive boosting decision tree, support vector machine, and K-nearest neighbors: A case study from the South Pars gas field is a scholarly article[1].
Key Facts
Experimental measurement and modeling of water-based drilling mud density using adaptive boosting decision tree, support vector machine, and K-nearest neighbors: A case study from the South Pars gas field's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Experimental measurement and modeling of water-based drilling mud density using adaptive boosting decision tree, support vector machine, and K-nearest neighbors: A case study from the South Pars gas field. Retrieved May 24, 2026, from https://4ort.xyz/entity/experimental-measurement-and-modeling-of-water-based-drilling-mud-density-using-adaptive-boosting-decision-tree-support-
MLA“Experimental measurement and modeling of water-based drilling mud density using adaptive boosting decision tree, support vector machine, and K-nearest neighbors: A case study from the South Pars gas field.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/experimental-measurement-and-modeling-of-water-based-drilling-mud-density-using-adaptive-boosting-decision-tree-support-.
BibTeX@misc{4ortxyz_experimental-measurement-and-modeling-of-water-based-drilling-mud-density-using-adaptive-boosting-decision-tree-support-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Experimental measurement and modeling of water-based drilling mud density using adaptive boosting decision tree, support vector machine, and K-nearest neighbors: A case study from the South Pars gas field}}, year = {2026}, url = {https://4ort.xyz/entity/experimental-measurement-and-modeling-of-water-based-drilling-mud-density-using-adaptive-boosting-decision-tree-support-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Experimental measurement and modeling of water-based drilling mud density using adaptive boosting decision tree, support vector machine, and K-nearest neighbors: A case study from the South Pars gas field — https://4ort.xyz/entity/experimental-measurement-and-modeling-of-water-based-drilling-mud-density-using-adaptive-boosting-decision-tree-support- (retrieved 2026-05-24)