Home › Entities › academia › Predicting performance of in-situ microbial enhanced oil recovery process and screening of suitable microbe-nutrient combination from limited experimental data using physics informed machine learning approach

Predicting performance of in-situ microbial enhanced oil recovery process and screening of suitable microbe-nutrient combination from limited experimental data using physics informed machine learning approach

Research article (Bioresource Technology, 2022) · cited 21× · AI/ML
academia openalex:W4220951361
Press Enter · cited answer in seconds

Predicting performance of in-situ microbial enhanced oil recovery process and screening of suitable microbe-nutrient combination from limited experimental data using physics informed machine learning approach

Summary

Predicting performance of in-situ microbial enhanced oil recovery process and screening of suitable microbe-nutrient combination from limited experimental data using physics informed machine learning approach is a scholarly article[1].

Key Facts

  • Predicting performance of in-situ microbial enhanced oil recovery process and screening of suitable microbe-nutrient combination from limited experimental data using physics informed machine learning approach's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Predicting performance of in-situ microbial enhanced oil recovery process and screening of suitable microbe-nutrient combination from limited experimental data using physics informed machine learning approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/predicting-performance-of-in-situ-microbial-enhanced-oil-recovery-process-and-screening-of-suitable-microbe-nutrient-com
MLA “Predicting performance of in-situ microbial enhanced oil recovery process and screening of suitable microbe-nutrient combination from limited experimental data using physics informed machine learning approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predicting-performance-of-in-situ-microbial-enhanced-oil-recovery-process-and-screening-of-suitable-microbe-nutrient-com.
BibTeX @misc{4ortxyz_predicting-performance-of-in-situ-microbial-enhanced-oil-recovery-process-and-screening-of-suitable-microbe-nutrient-com_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predicting performance of in-situ microbial enhanced oil recovery process and screening of suitable microbe-nutrient combination from limited experimental data using physics informed machine learning approach}}, year = {2026}, url = {https://4ort.xyz/entity/predicting-performance-of-in-situ-microbial-enhanced-oil-recovery-process-and-screening-of-suitable-microbe-nutrient-com}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Predicting performance of in-situ microbial enhanced oil recovery process and screening of suitable microbe-nutrient combination from limited experimental data using physics informed machine learning approach — https://4ort.xyz/entity/predicting-performance-of-in-situ-microbial-enhanced-oil-recovery-process-and-screening-of-suitable-microbe-nutrient-com (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/predicting-performance-of-in-situ-microbial-enhanced-oil-recovery-process-and-screening-of-suitable-microbe-nutrient-com · Last refreshed: