Abstract
The cross plotting of rock properties for fluid and lithology discrimination was carried out in a Niger Delta oil field using well data from a given oil field. The data used for the analysis consist of suites of six wells. The reservoir was evaluated using gamma ray logs, volume of shale, resistivity and neutron porosity for well-02 and well-06. Sand lithology showed low gamma ray, high resistivity and low acoustic impedance. Cross plotting was carried out and the plots with most outstanding results were Vp/Vs versus AI, λρ Versus Vp/Vs, μρ against Density and λρ versus μρ. For the two wells considered, two reservoirs were observed, one reservoir was observed in well - 02 at a depth of 4600 ft to 5050 ft .and a reservoir was also observed for well - 06 at a depth of 10240 ft to 10600 ft. Crossplotting of rock properties discriminated the wells into lithologies of sand and shale which is typical of Niger Delta. The crossplot also discriminated the fluids into gas, brine and oil. This study has been able to discriminate hydrocarbon reservoirs using well logs in the field of study. Keywords : Hydrocarbon, Reservoir, Well – Logs, Crossplotting, Lithology
Highlights
There are many risks associated with the exploitation of hydrocarbons, the potential drilling location and to reduce these risks, it is important to describe a reservoir in terms of its lithology and pore fluid content
Analysis and interpretation of seismic data named as Amplitude Variation with Offset (AVO) detection, secondly, sustaining the result obtained from the assessment of seismic data through modeling named as AVO modeling, and, thirdly, a lithological characterization named as inversion of AVO data (Sincer, 2006)
Cross plotting appropriate pairs of attributes so that common lithologies and fluid types generally cluster together allows for straightforward interpretation
Summary
There are many risks associated with the exploitation of hydrocarbons, the potential drilling location and to reduce these risks, it is important to describe a reservoir in terms of its lithology and pore fluid content. This has a direct bearing on reservoir development and its management. In modern seismic data interpretation, Amplitude variation with offset It is widely used in hydrocarbon detection, lithology identification, and fluid parameter analysis, due to the fact that seismic amplitudes at the boundaries are affected by the variations of the physical properties just above and just below the boundaries. Analysis and interpretation of seismic data named as AVO detection, secondly, sustaining the result obtained from the assessment of seismic data through modeling named as AVO modeling, and, thirdly, a lithological characterization named as inversion of AVO data (Sincer, 2006)
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