Prospecting with the density cube

Koughnet, Roderick W. Van; Skidmore, Charles M.; Kelly, Michael C.; Lindsay, Richard O.

doi:10.1190/1.1623646

Cited by 12 publications

(2 citation statements)

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“…Cross-plots of rock properties and pore fluid and lithology show that density makes the biggest distinction of hydrocarbon reservoirs and other types of rock fluid, making exact density estimates significant for characterization of the reservoir (Van Koughnet et al, 2003).…”

Section: Methodsmentioning

confidence: 99%

Porosity Prediction for Some Geological intervals in the East Baghdad Oil Field Using New Empirical Equations

Abdullah¹

2021

Türkiye Jeoloji Bülteni / Geological Bulletin of Turkey

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This study examines the evaluation of empirical equations related to primary seismic velocity with density and porosity. The empirical equations have been used in 128 sites based on a seismic grid covering the east Baghdad oil field. The average of density of the geological formations between each seismic reflectors and another (each interval) was extracted from well log data for four wells scattered in the field. Those reflectors were arranged from top to bottom of the studied Formations (Fatha, Hartha, Tanuma, Ahmadi, Shuaiba, and Gutnia Formations). In order to determine the best empirical equations, several previous equations were tested to obtain the best that correspond to the density rates taken from well records. The most suitable equations were used in calculating density for all intervals in the whole field. Using the strong relationship (porosity-density) taken from the well log data, the porosity values for all the studied intervals were found. Later, the porosity and density contour maps for each interval in the whole field were established. The locations of high porosity zones were identified and related to the petroleum distribution in the field.

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Section: Methodsmentioning

confidence: 99%

Porosity Prediction for Some Geological intervals in the East Baghdad Oil Field Using New Empirical Equations

Abdullah¹

2021

Türkiye Jeoloji Bülteni / Geological Bulletin of Turkey

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“…In contrast, density has proven to be a hydrocarbon indicator (Silva et al, 2013). Crossplotting between different rock parameters and pore fluids also demonstrates that density provides the best differentiation between hydrocarbon reservoirs and other rock/fluid types (Van Koughnet et al, 2003). However, the determination of density from seismic data is not an easy task.…”

Section: Introductionmentioning

confidence: 95%

Estimation of density from seismic data without long offsets – a novel approach.

Sharma¹,

Chopra²

2015

SEG Technical Program Expanded Abstracts 2015

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Estimation of density plays an important role in characterizing subsurface reservoirs. Reliable determination of density from noise-free seismic data requires long offsets, or it can be determined from measured converted waves. As the acquisition, processing and interpretation of multicomponent seismic data entails more time and cost, their use has been slow in our industry. Considering the importance of the density attribute in the determination of lithology and fluid discrimination, we describe a novel approach for its determination from conventional (PP) seismic data. The key point of this approach is that it does not require long offsets. Though this methodology has been applied to a variety of reservoir characterization exercises, we describe its application to the Montney Shale Formation in the Montney-Dawson area of British Columbia, Canada. We also demonstrate a comparison of the proposed approach with simultaneous impedance inversion application to longoffset seismic data for determination of density. The proposed approach has shown encouraging results.

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