2022
DOI: 10.1007/s12517-021-09381-5
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Lithology identification and gross rock volume estimation of B-Sand in NIM Block, Lower Indus Basin, Pakistan

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Cited by 2 publications
(1 citation statement)
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“…Economical, efficient, and continuous logging data with high vertical resolution have become a crucial means for lithology identification. Previous studies plotted the crosslet by lithology-sensitive logging curves (Benoit et al, 1980;Liu et al, 2016) and identified the logging lithology using Elemental Capture Spectroscopy (ECS) logging (Wu et al, 2013), imaging logging (Lai et al, 2019), and multi-mineral model (Butt and Naseem, 2022). Crossplot has been widely used to identify the lithology of conventional reservoirs; however, it is less effective in identifying the complex lithology of tight sandstone reservoirs due to the similar logging response of complicated lithological components.…”
Section: Introductionmentioning
confidence: 99%
“…Economical, efficient, and continuous logging data with high vertical resolution have become a crucial means for lithology identification. Previous studies plotted the crosslet by lithology-sensitive logging curves (Benoit et al, 1980;Liu et al, 2016) and identified the logging lithology using Elemental Capture Spectroscopy (ECS) logging (Wu et al, 2013), imaging logging (Lai et al, 2019), and multi-mineral model (Butt and Naseem, 2022). Crossplot has been widely used to identify the lithology of conventional reservoirs; however, it is less effective in identifying the complex lithology of tight sandstone reservoirs due to the similar logging response of complicated lithological components.…”
Section: Introductionmentioning
confidence: 99%