[图书][B] The illustrated wavelet transform handbook: introductory theory and applications in science, engineering, medicine and finance

PS Addison - 2017 - taylorfrancis.com
This second edition of The Illustrated Wavelet Transform Handbook: Introductory Theory and
Applications in Science, Engineering, Medicine and Finance has been fully updated and …

Semi-supervised learning for lithology identification using Laplacian support vector machine

Z Li, Y Kang, D Feng, XM Wang, W Lv, J Chang… - Journal of Petroleum …, 2020 - Elsevier
Lithology identification is a fundamental task in well log interpretation. Considering the
presence of substantial unlabeled data in the field of petroleum exploration, this paper …

Lithofacies discrimination of the Ordovician unconventional gas-bearing tight sandstone reservoirs using a subtractive fuzzy clustering algorithm applied on the well …

A Cherana, L Aliouane, MZ Doghmane… - Journal of African Earth …, 2022 - Elsevier
The main objective of this paper is to prove the capability of the fuzzy clustering algorithm for
discriminating between lithofacies that are derived from the borehole log data of Ordovician …

[PDF][PDF] 利用决策树方法识别复杂碳酸盐岩岩性——以苏里格气田苏东41-33 区块为例

王振洲, 张春雷, 高世臣 - 油气地质与采收率, 2017 - yqdzycsl.cnjournals.com
苏里格气田苏东41-33 区块具有低孔, 低渗透, 非均质性强的特点, 其奥陶系马家沟组碳酸盐岩储
层受多期不同类型构造, 沉积等作用, 岩性复杂多样, 对岩性的准确识别成为研究区开发的重点和 …

Improving automated geological logging of drill holes by incorporating multiscale spatial methods

EJ Hill, MA Pearce, JM Stromberg - Mathematical Geosciences, 2021 - Springer
Manually interpreting multivariate drill hole data is very time-consuming, and different
geologists will produce different results due to the subjective nature of geological …

Machine learning approaches for formation matrix volume prediction from well logs: insights and lessons learned

PVD Kannaiah, NK Maurya - Geoenergy Science and Engineering, 2023 - Elsevier
Determining the formation rock type and their petrophysical properties using well-log data is
necessary for resource assessment. Formation porosity, shale content, and saturations must …

Simplifying drill-hole domains for 3D geochemical modelling: An example from the Kevitsa Ni-Cu-(PGE) deposit

M Le Vaillant, J Hill, SJ Barnes - Ore Geology Reviews, 2017 - Elsevier
A 3D geology model is a simplified version of the true geology, designed to give a visual
summary of the geometry and distribution of major geological elements in a specified region …

Performance of the synergetic wavelet transform and modified K-means clustering in lithology classification using nuclear log

H Yang, H Pan, H Ma, AA Konaté, J Yao… - Journal of Petroleum …, 2016 - Elsevier
Accurate lithology identification is fundamentally crucial to reservoir evaluation from
geophysical well logs. However, the traditional way of lithological identification is carried out …

Adaptive boosting of random forest algorithm for automatic petrophysical interpretation of well logs

V Srivardhan - Acta Geodaetica et Geophysica, 2022 - Springer
Abstract The power of Machine Learning is demonstrated for automatic interpretation of well
logs and determining reservoir properties for volume of shale, porosity, and water saturation …

Automatic detection of rock boundaries using a hybrid recurrence quantification analysis and machine learning techniques

K Anvari, A Mousavi, AR Sayadi, E Sellers… - Bulletin of Engineering …, 2022 - Springer
The collection of sensor-based data is dramatically increased in the mining industry. One of
the widely used applications of the collected data is to identify rock domains and to estimate …