Review of statistical probabilities from technologies used for pre-drill hydrocarbon prediction

First Break ◽  
2019 ◽  
Vol 37 (6) ◽  
pp. 67-73
Author(s):  
Kim Gunn Maver
Keyword(s):  
Hydrocarbon Prediction

Application of Low-Frequency Energy Increment Technology in Hydrocarbon Prediction

2012 ◽  
Vol 472-475 ◽  
pp. 178-182
Author(s):  
Zhi Ming Li ◽  
Xue Yan Hu ◽  
Ling Xia Zhen
Keyword(s):  
Laboratory Data ◽  
Low Frequency ◽  
Biot Theory ◽  
Hydrocarbon Detection ◽  
Hydrocarbon Prediction ◽  
Phase Medium ◽  
Multi Phase ◽  
Cave Detection ◽  
Fluid Detection ◽  
Energy Increment

Based on the Biot theory and laboratory data, engineers of LandOcean recently develop a certain technology for hydrocarbon detection in multi-phase medium in order to reduce ambiguity and uncertainty. The sensitivity of the technology is superior to others especially in carbonate pores and cave detection, igneous hydrocarbon prediction and fluid detection of non-well areas. A number of projects and wells drilling proved that this technology is effective and reliable.

A modified expression of Q attribute and its application in hydrocarbon prediction

2019 ◽  
Author(s):  
Yanli Liu ◽  
Zhenchun Li ◽  
Guoquan Yang ◽  
Qiang Liu
Keyword(s):  
Hydrocarbon Prediction

Applications of Hydrocarbon Prediction in Malaysian Offshore Using a New Attribute in Place of Conventional AVO Fluid Factor

2018 ◽  
Author(s):  
Liu Changcheng ◽  
Kazuki Ishikura ◽  
Maman Hermana ◽  
Chow Weng Sum ◽  
Deva Prasad Ghosh
Keyword(s):  
Hydrocarbon Prediction ◽  
Fluid Factor

scholarly journals Diffraction Amplitude for Fractures Imaging & Hydrocarbon Prediction

2017 ◽  
Vol 05 (03) ◽  
pp. 50-59 ◽  
Author(s):  
Yasir Bashir ◽  
Deva Prasad Ghosh ◽  
Chow Weng Sum
Keyword(s):  
Hydrocarbon Prediction

Hydrocarbon prediction based on 3D multi-wave data in LA area

2014 ◽  
Author(s):  
Lei Fu* ◽  
Jianmin Wang ◽  
Chunling Yu ◽  
Lien Zhang ◽  
Xiangbo Kong
Keyword(s):  
Hydrocarbon Prediction ◽  
Wave Data
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