Reservoir Characterization and Volumetric Analysis of “Lee” Field, Onshore Niger Delta, Using 3D Seismic and Well Log Data

Adigwe, P.; Inichinbia, S.

doi:10.4314/jasem.v23i12.16

Cited by 1 publication

(3 citation statements)

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“…where ma = rock matrix density, b = measured density, Water (1 g/cm 3 ), oil (0.87 g/cm 3 ), gas (0.65 g/cm 3 ), fluid = fluid density. Water saturation (Sw n ) was computed using Archies equation [25]:…”

Section: Methodsmentioning

confidence: 99%

“…6, pp. [1][2][3][4][5][6][7][8][9][10][11]2024; Article no.JGEESI.115556 and gas exploration and development in the Niger delta region. The Akata Formation is a uniform shale development comprising sandy, silty shale with plant remains at the top.…”

Section: Niger Delta Stratigraphy Sequencementioning

confidence: 99%

“…The discovery and extraction of hydrocarbons are essential to meet global energy demand that is continually increasing. Reservoir characterization involves a multidisciplinary approach, integrating well log data, core data, and seismic reflection data to gain a comprehensive understanding of subsurface reservoirs [1][2][3][4][5]. It is critical for hydrocarbon reserve estimation which will help to reduce exploration risks, optimize hydrocarbon production, and consequently maximize economic benefits.…”

Section: Introductionmentioning

confidence: 99%

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Integration of Seismic and Well Log Data for Reservoir Characterization in Offshore Niger Delta, Nigeria

Akinlabi,

Abiodun

2024

JGEESI

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The demand for fossil fuels is continually increasing due to the growing global population and industrialization. It is thus necessary to find hydrocarbon prospects in new fields and those that have previously been classified as marginal fields in order to maximize production. An integrated approach is required to effectively characterize hydrocarbon reservoirs and assess their ability to store and produce hydrocarbons. 3D seismic reflection data and well log data were combined to quantitatively estimate hydrocarbon reserves in a field, offshore Niger delta, Nigeria. The reservoirs were delineated on the gamma ray and resistivity logs which penetrate four wells selected from the field. The petrophysical analysis provided information about the net-to-gross thickness ratio, porosity, shale volume and water saturation of the reservoirs, deduced from well log suites comprising gamma, resistivity, density and neutron-porosity logs through four wells. The seismic interpretation involved mapping of horizons and faults across the wells on the seismic section. Check shot data were used to tie the seismic data to the well log data to generate the synthetic seismogram. The time structural and depth structural maps were generated. The volumetric analysis entailed derivation of the Gross rock volume from the depth structural map, and estimation of the Stock Tank Oil Initially In Place (STOIIP). Four reservoirs were delineated in each of the four wells. The average thickness of the reservoirs ranges from 56.6 m to 232.7 m while the water saturation varies from 0.29% to 0.57%. The average porosities of the reservoirs ranges from 0.18% to 0.22%. The structural interpretation of the eight faults mapped reveals synthetic and antithetic faults, and rollover anticlines. The time- and depth structural maps generated from the mapped horizons show that the reservoirs are penetrated by the different faults. The Stock Tank Oil Initially In Place (STOIIP) of the reservoirs range from 25 MMstb to 468 MMstb. The study shows that the integration of 3D reflection data and well log data can be used effectively to estimate hydrocarbon reserves. The results of the study are expected to contribute to the development of new exploration and production strategies in the Niger delta basin and similar sedimentary environments.

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Section: Methodsmentioning

confidence: 99%