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Dynamic Enhanced Recovery Technologies Class I (Final Report Part II)

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The AKCESS.Basin Modeling System was developed to investigate phenomena associated with hydrocarbon migration up the Red Fault of the South Eugene Island Minibasin. It is thought that hydrocarbons moved up this fault to charge Pennzoil's Block 330 oil and gas fields, which are among the largest accumulations of oil and gas in the Gulf of Mexico. Because the strata that host the oil and gas reservoirs are less than 1.5 rna old, and some only -0.46 rna, because there are temperature anomalies along the Red Fault that are of the form that pulses of fluid flow up the fault might produce, and because some of the Pennzoil Reservoirs have produced more oil than is conventionally thought possible (up to and perhaps more than 100% of the oil originally in place), it is thought that hydrocarbon migration up the Red Fault may have occurred very recently of be taking place at the present day. As part of this project the Red Fault was drilled to investigate these possibilities. The fault was drilled at the transition zone between soft and hard overpressure; massive amounts of data were collected and analyzed. The part of the project reported here is concerned with modeling. Our charge was to development a modeling methodology capable of realistically addressing temperatures and fluid flow in a data cube centered on the drilled portions of the Red Fault. The modeling was to be of large enough scale to encompass phenomena associated with and recent hydrocarbon migration up the Red Fault The models were to address: (1) the cause of pressure, temperature, t1uid chemical, and porosity anomalies near the Red Fault, (2) the possible sources of oil and gas moving up the fault, and (3) the causes of organic and inorganic chemical alteration near the fault.

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Last Updated September 29, 2016, 14:24 (LMT)
Created September 29, 2016, 14:24 (LMT)
Citation Roger N. Anderson ---- Roy Long, Dynamic Enhanced Recovery Technologies Class I (Final Report Part II), 2016-09-29, https://edx.netl.doe.gov/dataset/dynamic-enhanced-recovery-technologies-class-i-final-report-part-ii
Netl Product yes
Poc Email Roy.long@netl.doe.gov
Point Of Contact Roy Long
Program Or Project KMD
Publication Date 1995-10-1