Geophysical logging and packer testing to determine depth of trichloroethene (TCE) contamination in the vicinity of Oak Grove Village Well 1 (OGV-1), Missouri, 2003-2004

2004 ◽  
Author(s):  
John G. Schumacher
Keyword(s):  
Geophysical Logging ◽  
Packer Testing

Downhole Geophysical Logging

1985 ◽  
Vol 13 (1) ◽  
pp. 315-344 ◽  
Author(s):  
A Timur ◽  
M N Toksoz
Keyword(s):  
Geophysical Logging

scholarly journals Quantify Coal Macrolithotypes of a Whole Coal Seam: A Method Combing Multiple Geophysical Logging and Principal Component Analysis

Energies ◽  
2021 ◽  
Vol 14 (1) ◽  
pp. 213
Author(s):  
Chao Cui ◽  
Suoliang Chang ◽  
Yanbin Yao ◽  
Lutong Cao
Keyword(s):  
Principal Component Analysis ◽  
Coal Seam ◽  
Coalbed Methane ◽  
Principal Component ◽  
Component Analysis ◽  
Gas Production ◽  
Index Model ◽  
Geophysical Logging ◽  
The Relationship ◽  
Observation Results

Coal macrolithotypes control the reservoir heterogeneity, which plays a significant role in the exploration and development of coalbed methane. Traditional methods for coal macrolithotype evaluation often rely on core observation, but these techniques are non-economical and insufficient. The geophysical logging data are easily available for coalbed methane exploration; thus, it is necessary to find a relationship between core observation results and wireline logging data, and then to provide a new method to quantify coal macrolithotypes of a whole coal seam. In this study, we propose a L-Index model by combing the multiple geophysical logging data with principal component analysis, and we use the L-Index model to quantitatively evaluate the vertical and regional distributions of the macrolithotypes of No. 3 coal seam in Zhengzhuang field, southern Qinshui basin. Moreover, we also proposed a S-Index model to quantitatively evaluate the general brightness of a whole coal seam: the increase of the S-Index from 1 to 3.7, indicates decreasing brightness, i.e., from bright coal to dull coal. Finally, we discussed the relationship between S-Index and the hydro-fracturing effect. It was found that the coal seam with low S-Index values can easily form long extending fractures during hydraulic fracturing. Therefore, the lower S-Index values indicate much more favorable gas production potential in the Zhengzhuang field. This study provides a new methodology to evaluate coal macrolithotypes by using geophysical logging data.

Packer Testing in Water Wells Near Sarasota, Floridaa

Ground Water ◽  
1966 ◽  
Vol 4 (2) ◽  
pp. 23-27
Author(s):  
H. Sutcliffe ◽  
B. F. Joyner
Keyword(s):  
Water Wells ◽  
Packer Testing
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