[HTML][HTML] Data-Driven PM2.5 Exposure Prediction in Wildfire-Prone Regions and Respiratory Disease Mortality Risk Assessment

S Khanmohammadi, M Arashpour, M Bazli… - Fire, 2024 - mdpi.com
Wildfires generate substantial smoke containing fine particulate matter (PM2. 5) that
adversely impacts health. This study develops machine learning models integrating pre …

Identification of petroleum degrading bacteria and the status of oil pool in South of Minas Field, Central Sumatra Basin Indonesia

TM Susantoro, S Suliantara… - Egyptian Journal …, 2024 - ejp.researchcommons.org
This study aimed to isolate and identify the oil-degrading bacteria and analyze the origin of
the crude oil pool. The oil samples were collected from the oil pool located at Ukai River …

Candidate Selection of Water Shut-Off in Oil and Gas Industry Using Random Forest

AP Wicaksono, A Choiruddin - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
The water production is a major issue faced by most of oil and gas companies. The increase
of water production leads to an increase of maintenance cost, failure in fulfilling energy (oil …

Supervised machine learning sedimentological characterization workflow: A tool to bridge the gap between qualitative and quantitative facies interpretation and …

A Seksaf, B Kostic, C Château, D Clay… - … Meeting for Applied …, 2024 - library.seg.org
From pioneer exploration geologists to modern upstream reservoir characterisation asset
teams, the geological interpretation of petroleum potential in uncored wells has always been …

[PDF][PDF] ANALISIS PEMILIHAN KANDIDAT WATER SHUT OFF PADA PERUSAHAAN MIGAS UNTUK KLASIFIKASI SUMUR POTENSIAL DENGAN METODE RANDOM …

AP WICAKSONO - repository.its.ac.id
Produksi air merupakan masalah utama yang dihadapi oleh sebagian besar perusahaan
minyak dan gas. Peningkatan produksi air berdampak pada dua hal: peningkatan biaya …