Visual selection of standard wells for large scale logging data via discrete choice model
- 30 January 2021
- journal article
- research article
- Published by Elsevier BV in Neurocomputing
- Vol. 446, 192-203
- https://doi.org/10.1016/j.neucom.2021.01.105
Abstract
No abstract availableKeywords
Funding Information
- Natural Science Foundation of Zhejiang Province
- National Natural Science Foundation of China
This publication has 39 references indexed in Scilit:
- Evaluation of the reservoir permeability of anthracite coals by geophysical logging dataInternational Journal of Coal Geology, 2011
- Efficient maximal poisson-disk samplingACM Transactions on Graphics, 2011
- A rapid technique for estimating the depth and width of a two-dimensional plate from self-potential dataJournal of Geophysics and Engineering, 2011
- Determination of well placement and breakthrough time in horizontal wells for homogeneous and anisotropic reservoirsJournal of Petroleum Science and Engineering, 2010
- Unsupervised pattern recognition in continuous seismic wavefield records using Self-Organizing MapsGeophysical Journal International, 2010
- Capacity-constrained point distributionsACM Transactions on Graphics, 2009
- Processing array acoustic-logging data to image near-borehole geologic structuresGeophysics, 2007
- Automated stratigraphic interpretation of well‐log dataGeophysics, 1987
- New Stratigraphic Correlation TechniquesThe Journal of Geology, 1980
- Quantitative lithostratigraphic correlation of subsurface sequencesComputers & Geosciences, 1978