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  | part    = Predicting the occurrence of oil and gas traps
 
  | part    = Predicting the occurrence of oil and gas traps
 
  | chapter = Surface geochemical exploration for petroleum
 
  | chapter = Surface geochemical exploration for petroleum
  | frompg  = 18-1
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  | frompg  = 18-14
  | topg    = 18-27
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  | topg    = 18-14
 
  | author  = Dietmar Schumacher
 
  | author  = Dietmar Schumacher
 
  | link    = http://archives.datapages.com/data/specpubs/beaumont/ch18/ch18.htm
 
  | link    = http://archives.datapages.com/data/specpubs/beaumont/ch18/ch18.htm
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* establish the presence, distribution, and composition of hydrocarbons in the area of exploration or development interest and
 
* establish the presence, distribution, and composition of hydrocarbons in the area of exploration or development interest and
* determine the probable hydrocarbon charge to specific exploration leads and prospects.
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* determine the probable [[Calculating charge volume|hydrocarbon charge]] to specific exploration leads and prospects.
    
==Reconnaissance objectives==
 
==Reconnaissance objectives==
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==Evaluating leads and prospects==
 
==Evaluating leads and prospects==
If the objective is to evaluate individual exploration leads and prospects, the results of geochemical surveys can identify those leads associated with strong hydrocarbon anomalies and thereby enable high-grading prospects on the basis of their association with hydrocarbon indicators. Regional geochemical surveys can help determine which leases should be renewed and which ones do not warrant additional expense. Detailed seepage surveys can also generate geochemical leads for evaluation with geologic and seismic data—leads that might otherwise go unnoticed. Published examples of these kinds of [[applications]] include Foote<ref name=ch18r13>Foote, R. S., 1996, [http://archives.datapages.com/data/specpubs/memoir66/09/0111.htm Relationship of near-surface magnetic anomalies to oil- and gas-producing areas], in Schumacher, D., Abrams, M. A., eds., Hydrocarbon Migration and Its Near-Surface Expression: [http://store.aapg.org/detail.aspx?id=75 AAPG Memoir 66], p. 111–126.</ref> Lopez et al.<ref name=ch18r22>Lopez, J., P., Hitzman, D., C., Tucker, J., D., 1994, Combined microbial, seismic surveys predict oil and gas occurrences in Bolivia: Oil & Gas Journal, October 24, p. 68–70.</ref> Potter et al.<ref name=ch18r29>Potter, R., W., IIHarrington, P., A., Silliman, A., H., Viellenave, J., H., 1996, Significance of geochemical anomalies in hydrocarbon exploration: one company's experience, in Schumacher, D., Abrams, M. A., eds., Hydrocarbon Migration and Its Near-Surface Expression: AAPG Memoir 66, p. 431–439.</ref> Rice<ref name=ch18r33>Rice, G., 1989, Exploration enhancement by integrating near-surface geochemical and seismic methods: Oil & Gas Journal, v. 87, no. 14 (April 3), p. 66–71.</ref> and Saunders et al.<ref name=ch18r36>Saunders, D., F., Burson, K., R., Brown, J., J., Thompson, C., K., 1993, Combined geological and surface geochemical methods discovered Agaritta and Brady Creek fields, Concho County, Texas: AAPG Bulletin, vol. 77, p. 1219–1240.</ref>
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If the objective is to evaluate individual exploration leads and prospects, the results of geochemical surveys can identify those leads associated with strong hydrocarbon anomalies and thereby enable high-grading prospects on the basis of their association with hydrocarbon indicators. Regional geochemical surveys can help determine which leases should be renewed and which ones do not warrant additional expense. Detailed seepage surveys can also generate geochemical leads for evaluation with geologic and seismic data—leads that might otherwise go unnoticed. Published examples of these kinds of applications include Foote<ref name=ch18r13>Foote, R. S., 1996, [http://archives.datapages.com/data/specpubs/memoir66/09/0111.htm Relationship of near-surface magnetic anomalies to oil- and gas-producing areas], in Schumacher, D., Abrams, M. A., eds., Hydrocarbon Migration and Its Near-Surface Expression: [http://store.aapg.org/detail.aspx?id=75 AAPG Memoir 66], p. 111–126.</ref> Lopez et al.<ref name=ch18r22>Lopez, J., P., Hitzman, D., C., Tucker, J., D., 1994, Combined microbial, seismic surveys predict oil and gas occurrences in Bolivia: Oil & Gas Journal, October 24, p. 68–70.</ref> Potter et al.<ref name=ch18r29>Potter, R., W., IIHarrington, P., A., Silliman, A., H., Viellenave, J., H., 1996, [http://archives.datapages.com/data/specpubs/memoir66/33/0431.htm Significance of geochemical anomalies in hydrocarbon exploration: one company's experience], in Schumacher, D., Abrams, M. A., eds., Hydrocarbon Migration and Its Near-Surface Expression: [http://store.aapg.org/detail.aspx?id=75 AAPG Memoir 66], p. 431–439.</ref> Rice<ref name=ch18r33>Rice, G., 1989, Exploration enhancement by integrating near-surface geochemical and seismic methods: Oil & Gas Journal, v. 87, no. 14 (April 3), p. 66–71.</ref> and Saunders et al.<ref name=ch18r36>Saunders, D., F., Burson, K., R., Brown, J., J., Thompson, C., K., 1993, [http://archives.datapages.com/data/bulletns/1992-93/data/pg/0077/0007/1200/1219.htm Combined geological and surface geochemical methods discovered Agaritta and Brady Creek fields, Concho County, Texas]: AAPG Bulletin, vol. 77, p. 1219–1240.</ref>
    
==Evaluating development projects==
 
==Evaluating development projects==
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==See also==
 
==See also==
* [[Designing surface geochemical surveys]]
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* [[Surficial geochemistry and hydrocarbon detection methods]]
* [[Hydrocarbon detection methods]]
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* [[Selecting a surficial geochemistry survey method]]
* [[Selecting a survey method]]
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* [[Designing a surficial geochemical survey]]
* [[Designing a geochemical survey]]
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* [[Surficial geochemical interpretation guidelines]]
* [[Interpretation guidelines]]
      
==References==
 
==References==
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[[Category:Predicting the occurrence of oil and gas traps]]  
 
[[Category:Predicting the occurrence of oil and gas traps]]  
 
[[Category:Surface geochemical exploration for petroleum]]
 
[[Category:Surface geochemical exploration for petroleum]]
 +
[[Category:Treatise Handbook 3]]

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