Item talk:Q58089

From geokb

{

 "USGS Publications Warehouse": {
   "schema": {
     "@context": "https://schema.org",
     "@type": "CreativeWork",
     "additionalType": "USGS Numbered Series",
     "name": "Application of decline curve analysis to estimate recovery factors for carbon  dioxide enhanced oil recovery",
     "identifier": [
       {
         "@type": "PropertyValue",
         "propertyID": "USGS Publications Warehouse IndexID",
         "value": "sir20175062C",
         "url": "https://pubs.usgs.gov/publication/sir20175062C"
       },
       {
         "@type": "PropertyValue",
         "propertyID": "USGS Publications Warehouse Internal ID",
         "value": 70189010
       },
       {
         "@type": "PropertyValue",
         "propertyID": "DOI",
         "value": "10.3133/sir20175062C",
         "url": "https://doi.org/10.3133/sir20175062C"
       }
     ],
     "inLanguage": "en",
     "isPartOf": [
       {
         "@type": "CreativeWorkSeries",
         "name": "Scientific Investigations Report"
       }
     ],
     "datePublished": "2017",
     "dateModified": "2017-07-17",
     "abstract": "IntroductionIn the decline curve analysis (DCA) method of estimating recoverable hydrocarbon volumes, the analyst uses historical production data from a well, lease, group of wells (or pattern), or reservoir and plots production rates against time or cumu\u00adlative production for the analysis. The DCA of an individual well is founded on the same basis as the fluid-flow principles that are used for pressure-transient analysis of a single well in a reservoir domain and therefore can provide scientifically reasonable and accurate results. However, when used for a group of wells, a lease, or a reservoir, the DCA becomes more of an empirical method. Plots from the DCA reflect the reservoir response to the oil withdrawal (or production) under the prevailing operating and reservoir conditions, and they continue to be good tools for estimating recoverable hydrocarbon volumes and future production rates. For predicting the total recov\u00aderable hydrocarbon volume, the DCA results can help the analyst to evaluate the reservoir performance under any of the three phases of reservoir productive life\u2014primary, secondary (waterflood), or tertiary (enhanced oil recovery) phases\u2014so long as the historical production data are sufficient to establish decline trends at the end of the three phases.",
     "description": "iv, 20 p.",
     "publisher": {
       "@type": "Organization",
       "name": "U.S. Geological Survey"
     },
     "author": [
       {
         "@type": "Person",
         "name": "Jahediesfanjani, Hossein hjahediesfanjani@usgs.gov",
         "givenName": "Hossein",
         "familyName": "Jahediesfanjani",
         "email": "hjahediesfanjani@usgs.gov",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "ORCID",
           "value": "0000-0001-6281-5166",
           "url": "https://orcid.org/0000-0001-6281-5166"
         },
         "affiliation": [
           {
             "@type": "Organization",
             "name": "Eastern Energy Resources Science Center"
           }
         ]
       }
     ],
     "funder": [
       {
         "@type": "Organization",
         "name": "Eastern Energy Resources Science Center",
         "url": "https://www.usgs.gov/centers/geology-energy-and-minerals-science-center"
       }
     ]
   }
 }

}