EORI Library
Find publications about Enhanced Oil Recovery (EOR).

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Field Guide to the Minnelusa Formation Ranch A and Newcastle Area, Wyoming and South Dakota
 4.95 MB
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Eolian petroleum reservoirs are found worldwide, many having high-volume production of both oil and gas. As with any geological rock unit, each oil/gas field has production characteristics peculiar to its geological history. However, certain common factors link most eolian reservoirs. Cross-stratification due to bedform migration can influence sweep direction and efficiency. The various kinds of primary eolian strata have different poroperm characteristics. Moreover, stacking of sand seas or bedforms through geological time can create distinctive reservoir flow units in the subsurface. Tectonic activity, especially faults, may create shear zones with reduced poroperm, or partition a reservoir into structurally defined flow units. Faults may also create high-permeability zones that allow water breakthrough. Eolian reservoirs are commonly thought of as clean, and rather simple. However, in some places they are complex in terms grain composition or texture. They are commonly cemented by carbonates, anhydrites or salt, which sets up fabricselective or non-fabric selective patterns of secondary porosity in reservoirs.

A review of basic principles of eolian deposition, with illustrations from the modern and ancient sediments.

This presentation addresses the benefit of increased spatial (lateral) and temporal (vertical) resolution using three-dimensional (3D) seismic data in Minnelusa field development.

A case history of Donkey Creek North Minnelusa Oil Field, T50N-R68W, Crook County, Wyoming demonstrates that acquiring high quality 3D seismic data directly benefits strategic placement of well bores to increase oil
production in both primary and secondary recovery programs.

Reservoir Modeling in Minnelusa (Case Study)
 11.6 MB
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Discussion of a case study in reservoir modeling in the Minnelusa which addresses geology, production history, porosity, temperature and fluid properties, and history matching.

Data driven modeling EOR in N. Kitty Field
 3.48 MB
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The law and economics of CO2 as a pollutant and commodity
 484.47 KB
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  • We think of CO2 as the greenhouse gas (GHG) causing global warming.
  • The Stern Report and the several IPCC (Intergovernmental Panel on Climate Change) reports are gaining acceptance.
  • In its most recent report (AR4 Synthesis Report November 17, 2007) the IPCC has written: Warming of the climate system is unequivocal, as is now evident from observations of increases in global average air and ocean temperatures, widespread melting of snow and ice, and rising global average sea level.
  • The report goes further to say: Most of the observed increase in globallyaveraged temperatures since the mid-20th century is very likely due to the observed increase in anthropogenic GHG concentrations.
  • The Supreme Court on April 2, 2007 in a 5 to 4 decision decided that CO2 was a pollutant and the EPA could regulate auto emissions of the GHG (Chemical & Engineering News, April 3, 2007).

Simulation evaluation of CO2 flooding in the muddy reservoir
 1.05 MB
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The simulation evaluation concluded that gravity stable CO2 flooding can be an effective EOR method for the Grieve Muddy reservoir. Up to 23 MMBO could ultimately be recovered by gravity stable CO2 flooding. The reservoir has potential to sequester more than 145 BSCF of CO2 at the end of CO2 flooding operation. Prior to the simulation of history matching and CO2 flooding, a four-layer Petrel model of Grieve Muddy reservoir was developed based on the identified facies in the Muddy channel sand and the overlain sandstone interval of bay-head delta deposition. Porosity and permeability distributions of layers generated in the Petrel model were exported to the simulation model. An OOIP estimation of 67 MMBO in Grieve Muddy channel sand has resulted from a simulation history matching based on the full-field material balance. History matching also reveals that about one MMSTBO of oil and 8.2 BSCF of gas have moved down from the overlain low-permeability sandstone interval into the Muddy channel sand interval during the reservoir depletion.