Modeling Deepwater Reservoirs

Ezekwe, John; Filler, Stuart

doi:10.2523/95066-ms

Cited by 5 publications

(4 citation statements)

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“…These petrophysical properties have major contributions to hydrocarbon reservoir characterization. Estimation of the structural and petrophysical evaluation of every reservoir unit require the integration of seismic and well log data, to describe the reservoir properties in terms of thickness, subsurface structural traps, porosity, permeability, hydrocarbon saturation, etc., within a particular field (Emujakporue 2017;Mehdipour et al 2003;Ezekwe and Filler 2005;Hadi et al 2005). Core samples and well logs can be used to determine or estimate the petrophysical properties, also sonic, neutron or bulk density log can be used to obtain the porosity value; hence, resistivity logs contribute to calculating the water saturation and fluid discrimination of the reservoir units (Emujakporue 2017).…”

Section: Introductionmentioning

confidence: 99%

“…Studies have shown that adopting seismic and well log data for reservoir characterization can provide an optimal framework for delineation of subsurface structural features and evaluation of volumetric analysis of probable hydrocarbon reservoir. This can be obtained through the interpretation of 3D seismic data to define the geometry of the reservoir and estimation of the petrophysical models such as porosity, permeability, water saturation, hydrocarbon saturation and delineation of fluid contacts of the hydrocarbon-bearing zones (Sanuade et al 2018;Futalan et al 2012;Oyedele et al 2013;Ihianle et al 2013;Amigun et al 2014;Onayemi and Oladele 2014).…”

Section: Introductionmentioning

confidence: 99%

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Hydrocarbon play assessment of X-field in an Onshore Niger Delta, Nigeria

Ibe

Oyewole

2018

J Petrol Explor Prod Technol

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Hydrocarbon play assessment of any hydrocarbon reservoir unit depends on the porosity, permeability, hydrocarbon saturation and water saturation of petrophysical model distributions and seismic reflections of reservoir rocks. The objective of the study is to resolve the ambiguities that are associated with hydrocarbon play assessment of an X-field in the Niger Delta basin. This was achieved through the use of pre-conditioned attributes, fault delineating seismic attributes such as coherence, variance and quantitative definition of the reservoir units of petrophysical model distributions, through the adoption of an integrated methodology of 3D seismic and well log data. A quick look examination of the well log signatures revealed numerous reservoir sand units, but only three hydrocarbon-bearing reservoir sands were of interest to us (RS1, RS2 and RS3). From the quantitative interpretation of well logs, the three identified reservoir sands were evaluated in terms of porosity, permeability, hydrocarbon saturation, shale volume, movable hydrocarbon index and water saturation. Effective porosity values of 24.56, 23.01 and 24.00% were obtained for Well 1, Well 2 and Well 4, respectively. This supports the known or already established porosity range of Agbada Formation of Niger Delta with range 28-32%. The hydrocarbon saturation for RS2 is 68.51% for Well 4, for RS3 72.49% for Well 3 and for RS2 74.16% and for RS3 77.34% for Well 2. RS2 of 79.51% and RS3 of 80.99% for Well 1 were obtained. This shows how prolific the reservoir sand units are with hydrocarbon accumulation tendencies. Structural analysis revealed a highly faulted system that depicts a typical tectonic setting of the Niger Delta basin, and the computed attributes like coherence, and variance shows an optimum visualization of the faulting system. This implies that the trapping mechanism of the field is of both anticlinal and fault-assisted closure and also the viability of the reservoir units is high from the computed petrophysical parameters.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Hydrocarbon play assessment of X-field in an Onshore Niger Delta, Nigeria

Ibe

Oyewole

2018

J Petrol Explor Prod Technol

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“…Petrophysical properties have a reasonable contribution to reservoir estimation, therefore it needs a serious attention. Reservoir characterization is the integration of different data in order to describe the reservoir properties of interest in inter-welllocations (Mehdipour et al, 2013;Ezekwe and Filler, 2005;Hadi et al, 2005). Various petrophysical properties such as porosity, net-to-gross and water saturation are used for reservoir modeling.…”

Section: Introductionmentioning

confidence: 99%

“…Various petrophysical properties such as porosity, net-to-gross and water saturation are used for reservoir modeling. Hydrocarbon reservoirs properties can be estimated by deterministic and probabilistic modeling (Godwill and Waburuko, 2016;Perevertailo et al, 2015;Kelka and Perez, 2002;Ezekwe and Filler, 2005;Başel et al, 2010). Petrophysical parameters can be derived from geophysical logs or core samples.…”

Section: Introductionmentioning

confidence: 99%