Results 231 to 240 of about 2,839,750 (318)

Integrated optical and radar remote sensing for litho-structural mapping of the Kerdous and Ait Abdellah inliers, western Anti-Atlas, Morocco. [PDF]

Sci Rep
Aadaj J, Tabit A, Algouti A, Aydda A, Moujane S, Agli S, Farah A, Errami M, Shebl A.   +8 more
europepmc   +1 more source

Subsurface geophysical profiling in Awash Melkesa: Insights into lithology and resource potential. [PDF]

PLoS One
Dessalew EA, Mamo T, Ali MY.
europepmc   +1 more source

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Auto-Lithology Identification Based on KNN

Advances in Science and Technology
Accurately grasping the distribution of different rocks can achieve the minimum explosive consumption and meet with the requirements of blasting quality; Not only reduces the cost of blasting, but also improves the safety and controllability of blasting.
Wen Xin Ji, Wei Dai, Kun Lin Zhang, Xin Ping Han   +3 more
openaire   +2 more sources

Research status and prospects of intelligent logging lithology identification

Measurement Science and Technology
Abstract With the increasing of petroleum exploration and development, accurate lithology identification is of crucial. Machine learning (ML) plays a key role in logging lithology identification. By introducing traditional logging lithology identification methods, we review the application of ML in logging lithology identification from ...
Huang Jin, Ci Yutong, Liu Xuan
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Carbonate Lithology Identification wth Generative Adversarial Networks

International Petroleum Technology Conference, 2020
Carbonate sedimentary rocks form the reservoir rocks of many oil and gas fields. The largest oil and gas fields in the world, such as the Ghawar field in Saudi Arabia and the Zakum field in Abu Dhabi, consist of carbonate reservoirs.
Takashi Nanjo, Satoru Tanaka
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Lithology identification by AVO inversion

SEG Technical Program Expanded Abstracts 1995, 1995
A stratigraphic elastic inversion scheme has been applied The main assumptions in the present scheme are: (i) The to two data sets from the ‘Troll East field. The objective of model is locally close to horizontally layered (i.e. the model the present work is to obtain estimates of Pand Swave layers exhibit small dips and small lateral velocity ...
Arild Buland, Martin Landroø, Roger Sollie, Mona Andersen, Terje Dahl   +4 more
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Application of specific energy for lithology identification

Journal of Petroleum Science and Engineering, 2020
Abstract The previous applications of specific energy to drilling operations have focused mainly on drilling optimization and identification of inefficient drilling conditions. Recent advances in specific energy extend its applications to overpressure detection and pore pressure prediction.
Olalere Oloruntobi, Stephen Butt
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Carbonate Lithology Identification with Machine Learning

Abu Dhabi International Petroleum Exhibition & Conference, 2019
Abstract Machine learning has attracted the attention of geoscientists over the years. In particular, image analysis via machine learning has promise for application to exploration and production technologies. Demands have grown for the automation of carbonate lithology identification to shorten the delivery time of work and to enable ...
Takashi Nanjo, Satoru Tanaka
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Decision Tree Ensembles for Automatic Identification of Lithology

SPE Symposium Leveraging Artificial Intelligence to Shape the Future of the Energy Industry, 2023
Abstract Lithology types identification is one of the processes geoscientists rely on to understand the subsurface formations and better evaluate the quality of reservoirs and aquifers. However, direct lithological identification processes usually require more effort and time.
Mahmoud Desouky, Abdullah Alqubalee, Ahmed Gowida   +2 more
openaire   +1 more source