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A mathematical method to identify and forecast coal texture of multiple and thin coal seams by using logging data in the Panguan syncline, western Guizhou, China
Research article (Journal of Petroleum Science and Engineering, 2019) · cited 22× · AI/ML
A mathematical method to identify and forecast coal texture of multiple and thin coal seams by using logging data in the Panguan syncline, western Guizhou, China
Summary
A mathematical method to identify and forecast coal texture of multiple and thin coal seams by using logging data in the Panguan syncline, western Guizhou, China is a scholarly article[1].
Key Facts
A mathematical method to identify and forecast coal texture of multiple and thin coal seams by using logging data in the Panguan syncline, western Guizhou, China's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). A mathematical method to identify and forecast coal texture of multiple and thin coal seams by using logging data in the Panguan syncline, western Guizhou, China. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-mathematical-method-to-identify-and-forecast-coal-texture-of-multiple-and-thin-coal-seams-by-using-logging-data-in-the
MLA“A mathematical method to identify and forecast coal texture of multiple and thin coal seams by using logging data in the Panguan syncline, western Guizhou, China.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-mathematical-method-to-identify-and-forecast-coal-texture-of-multiple-and-thin-coal-seams-by-using-logging-data-in-the.
BibTeX@misc{4ortxyz_a-mathematical-method-to-identify-and-forecast-coal-texture-of-multiple-and-thin-coal-seams-by-using-logging-data-in-the_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A mathematical method to identify and forecast coal texture of multiple and thin coal seams by using logging data in the Panguan syncline, western Guizhou, China}}, year = {2026}, url = {https://4ort.xyz/entity/a-mathematical-method-to-identify-and-forecast-coal-texture-of-multiple-and-thin-coal-seams-by-using-logging-data-in-the}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A mathematical method to identify and forecast coal texture of multiple and thin coal seams by using logging data in the Panguan syncline, western Guizhou, China — https://4ort.xyz/entity/a-mathematical-method-to-identify-and-forecast-coal-texture-of-multiple-and-thin-coal-seams-by-using-logging-data-in-the (retrieved 2026-05-24)
