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It is exceedingly rare that a log contains more reservoir than nonreservoir information, and when one is unfamiliar with an area or wants to broadly reconnoiter an area, a scanning technique that sorts reservoir from nonreservoir can be helpful, even with access to computer-aided processing. A good scanning technique not only identifies the reservoirs, but can also give the geologist hints as to potential pay and wet zones. Remember that in the interpretive process, the identification of wet zones is as important as the discovery of those containing hydrocarbons, because the comparison of the two helps clearly identify both the presence and amount of the hydrocarbons.
 
It is exceedingly rare that a log contains more reservoir than nonreservoir information, and when one is unfamiliar with an area or wants to broadly reconnoiter an area, a scanning technique that sorts reservoir from nonreservoir can be helpful, even with access to computer-aided processing. A good scanning technique not only identifies the reservoirs, but can also give the geologist hints as to potential pay and wet zones. Remember that in the interpretive process, the identification of wet zones is as important as the discovery of those containing hydrocarbons, because the comparison of the two helps clearly identify both the presence and amount of the hydrocarbons.
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[[file:Mth16Ch7Figure7-1.jpg|thumb|300px|{{figure number|1}}Flowchart for scanning logs to identify zones of interest (both pay and wet). <sup>1</sup> Zones that appear to be shales might be radioactive productive zones. <sup>2</sup> Shaly zones might produce oil or gas even if they have low resistivity.<ref name=AsquithandKrygowski_2006>Asquith, G., and D. Krygowski, 2006, Basic Well Log Analysis, 2nd Edition: AAPG Methods in Exploration 16, 244 p.</ref>]]
      
[[:file:Mth16Ch7Figure7-1.jpg|Figure 1]] is a flowchart for one such scanning technique. Note that it has two paths, one for clastics and one for carbonates. In the clastic case, the resistivity log is the primary reconnaissance measurement because clastics tend to consist of reservoirs surrounded by shales of slowly varying resistivity. The changes in resistivity due to changes in fluid content of the reservoirs tend to stand out against this relatively constant background. On the carbonate path, on the other hand, formation resistivities tend to vary widely with changing rock types, and commonly there are few shales against which to measure changes. In this case, the porosity log is the primary reconnaissance measurement. By first finding the porous zones, those with the capacity to hold fluids (of any type) can be identified.
 
[[:file:Mth16Ch7Figure7-1.jpg|Figure 1]] is a flowchart for one such scanning technique. Note that it has two paths, one for clastics and one for carbonates. In the clastic case, the resistivity log is the primary reconnaissance measurement because clastics tend to consist of reservoirs surrounded by shales of slowly varying resistivity. The changes in resistivity due to changes in fluid content of the reservoirs tend to stand out against this relatively constant background. On the carbonate path, on the other hand, formation resistivities tend to vary widely with changing rock types, and commonly there are few shales against which to measure changes. In this case, the porosity log is the primary reconnaissance measurement. By first finding the porous zones, those with the capacity to hold fluids (of any type) can be identified.
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[[file:Mth16Ch7Figure7-1.jpg|thumb|left|300px|{{figure number|1}}Flowchart for scanning logs to identify zones of interest (both pay and wet). <sup>1</sup> Zones that appear to be shales might be radioactive productive zones. <sup>2</sup> Shaly zones might produce oil or gas even if they have low resistivity.<ref name=AsquithandKrygowski_2006>Asquith, G., and D. Krygowski, 2006, Basic Well Log Analysis, 2nd Edition: AAPG Methods in Exploration 16, 244 p.</ref>]]
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==See also==
 
==See also==

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