Qualitative and quantitative comparison of geostatistical techniques of porosity prediction from the seismic and logging data: a case study from the Blackfoot Field, Alberta, Canada-Reference-Cited by-同舟云学术

Qualitative and quantitative comparison of geostatistical techniques of porosity prediction from the seismic and logging data: a case study from the Blackfoot Field, Alberta, Canada

Published:2018-05-22 Issue:1 Volume:40 Page:51-71
ISSN:0025-3235
Container-title:Marine Geophysical Research
language:en
Short-container-title:Mar Geophys Res

Author:

Maurya S. P.,Singh K. H.,Singh N. P.^ORCID

Funder

DST New Delhi India

Publisher

Springer Science and Business Media LLC

Subject

Geochemistry and Petrology,Geophysics,Oceanography

Link

http://link.springer.com/content/pdf/10.1007/s11001-018-9355-6.pdf

Reference35 articles.

1. Ansari HR (2014) Use of seismic colored inversion and power law committee machine based on imperial competitive algorithm for improving porosity prediction in a heterogeneous reservoir. J Appl Geophys 108:61–68

2. Bhatt A, Hell HB (2002) Committee neural networks for porosity and permeability prediction from well logs. Geophys Prospect 50(6):645–660

3. Bosch M, Mukerji T, Gonzalez EF (2010) Seismic inversion for reservoir properties combining statistical rock physics and geostatistics: a review. Geophysics 75(5):75A165–75A176

4. Brossier R, Operto S, Virieux J (2015) Velocity model building from seismic reflection data by full-waveform inversion. Geophys Prospect 63(2):354–367

5. Brown AR (2004) Interpretation of three-dimensional seismic data. AAPG Tulsa OK 6(42):514

Cited by 30 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Implementing 4D seismic inversion based on Linear Programming techniques for CO2 monitoring at the Sleipner field CCS site in the North Sea, Norway;Acta Geophysica;2024-05-30

2. Estimation of Petrophysical Properties Using Linear Programming Sparse Spike Inversion and Deep Feed-Forward Neural Network Techniques Over F3 Block, Netherlands: A Case Study;Pure and Applied Geophysics;2024-03

3. Integrated thin layer classification and reservoir characterization using sparse layer reflectivity inversion and radial basis function neural network: a case study;Marine Geophysical Research;2024-01-19

4. Earthquake Source Dynamics and High-Frequency Decal Characteristics of Japanese Arc Region;Recent Developments in Earthquake Seismology;2024

5. Exploring GRACE and GPS and Absolute Gravity Data on the Relationship Between Hydrological Changes and Vertical Crustal Deformation in South India;Recent Developments in Earthquake Seismology;2024