scholarly journals Petro-physical analysis of well logs for reservoir evaluation: a case study of Well 1 and 2 of the ‘Ictorian’ field in the Niger Delta Basin

2019 ◽  
Vol 23 (6) ◽  
pp. 999
Author(s):  
G.E. Maju-Oyovwikowhe ◽  
V.K. Njoku
Keyword(s):  
Niger Delta ◽  
Well Logs ◽  
Physical Analysis ◽  
Reservoir Evaluation ◽  
Niger Delta Basin

scholarly journals Depositional Environments and Reservoir Evaluation of Otuma Oil Field, Niger - Delta basin, Nigeria

2021 ◽  
Vol 2 (6) ◽  
pp. 53-57
Author(s):  
Godwin O. Aigbadon ◽  
Goriola O. Babatunde ◽  
Mu’awiya B. Aminu ◽  
Changde A. Nanfa ◽  
Simon D. Christopher
Keyword(s):  
Niger Delta ◽  
Water Saturation ◽  
Depositional Environments ◽  
Oil Field ◽  
Well Logs ◽  
Depth Range ◽  
Motif Model ◽  
Reservoir Evaluation ◽  
Study Interval ◽  
Niger Delta Basin

This study was carried out by using well logs to evaluate the depositional environments and hydrocarbon reservoirs in the Otuma oil field, Niger Delta basin. The gamma motif/model within- study interval in the drilled well shows blocky, symmetrical, and serrated shapes which suggest a deltaic front with mouth bar to a regressive - transgressive shoreface delta respectively. A correlation was done on the well logs across the wells and the ten well logs were used to evaluate the petrophysical characteristics of the reservoirs. The reservoirs showed highly porous and permeable channels where the wells were used for the characterization. The ten reservoirs were mapped at a depth range of 2395 m to 2919 m with thicknesses varying from 4m to 135m. The petrophysical results of the field showed that the porosity of the reservoirs ranges between 0.10 to 0.30, and permeability from 48 md to 290 md; the water saturation ranges from 0.39 to 0.52, and hydrocarbon saturation from the field 0.48 to 0.61. The By-passed hydrocarbons identified in low resistivity pay sands D4 and D3 at depth 2649 m to 2919 m, respectively were also evaluated and will be put to production in the field.

scholarly journals Analysis of shaly sand reservoir rocks in the eastern Niger Delta Basin using geophysical well logs

2019 ◽  
Vol 10 (1) ◽  
pp. 1-13
Author(s):  
K. F. Fozao ◽  
Lordon A. E. Djieto ◽  
E. A. A. Ali ◽  
C. M. Agying ◽  
D. M. Ndeh ◽  
...  
Keyword(s):  
Niger Delta ◽  
Well Logs ◽  
Reservoir Rocks ◽  
Shaly Sand ◽  
Geophysical Well Logs ◽  
Niger Delta Basin

Prediction Of Abnormal Pressures In The Niger Delta Basin Using Well Logs

1990 ◽  
Author(s):  
Olubunmi O. Owolabi ◽  
Godwin A. Okpobiri ◽  
Iyalia A. Obomanu
Keyword(s):  
Niger Delta ◽  
Well Logs ◽  
Niger Delta Basin

Feasibility Study Of Cutting Injection Operation: A Case Study Of The Niger Delta Basin

2006 ◽  
Author(s):  
Abraham Okorodudu ◽  
Akinwale C. Akinbodunse ◽  
Louise Linden ◽  
Loveday Anwuri ◽  
Dozie Onyewuchi Irrechukwu ◽  
...  
Keyword(s):  
Feasibility Study ◽  
Niger Delta ◽  
Niger Delta Basin

scholarly journals Modelling and mapping hydrocarbon saturated sand reservoir using Poisson’s impedance (PI) inversion: a case study of Bonna field, Niger Delta swamp depobelt, Nigeria

2020 ◽  
Author(s):  
Aniefiok Sylvester Akpan ◽  
Francisca Nneka Okeke ◽  
Daniel Nnaemeka Obiora ◽  
Nyakno Jimmy George
Keyword(s):  
Niger Delta ◽  
Seismic Attributes ◽  
Well Logs ◽  
3D Seismic ◽  
Saturated Sand ◽  
Inversion Process ◽  
Data Set

Abstract 3D seismic volume and two well logs data labelled Bonna-6 and Bonna-8 were employed in the inversion process. The data set was simultaneously inverted to produce P- and S-impedances, density, VP −  VS, and PI seismic attributes. An average “c” term value of 1.37 was obtained from the inverse of the slope of the crossplot of P-impedance versus S-impedance for Bonna-6 and Bonna-8 wells. This value was employed in the inversion process to generate the PI attribute, which aided in reducing the non-uniqueness inherent in discriminating the probable reservoir sands. Five seismic attributes slices were generated to ascertain the superiority of each attribute in delineating the probable reservoir sand. These attributes were: density, S-impedance, P-impedance, VP− VS ratio and PI. These attributes reveal low value of density (1.96 − 2.14 g/cc), P-impedance (1.8 × 104 − 2.1 × 104) ft/s*g/cc, S-impedance (9.2 × 103 − 1.1 × 104) ft/s*g/cc, VP − VS (1.65 − 1.72) and PI (4.9 × 103 − 5.1 × 104) ft/s*g/cc around the area inferred to be hydrocarbon saturated reservoir. Although the attributes considered reveals the same zone suspected to be probable hydrocarbon zone, PI gives a better discrimination when compared to other attributes. A distinctive spread and demarcation of the delineated hydrocarbon sand are observed in the PI attribute slice.

scholarly journals Geological Evaluation of Hydrocarbon Prospect of FOB-field, Coastal Swamp Depobelt, Onshore, Niger Delta Basin, Nigeria

2019 ◽  
pp. 1-12
Author(s):  
Frankie O. Balogun ◽  
Franklin A. Lucas ◽  
Osarodion Ebomwonyi
Keyword(s):  
Late Miocene ◽  
Niger Delta ◽  
Seismic Facies ◽  
Well Logs ◽  
Environment Model ◽  
Multidisciplinary Data ◽  
Sedimentary Succession ◽  
Sequence Boundaries ◽  
Niger Delta Basin ◽  
Geological Position

Well logs, biostratigraphic data, seismic data and semblance map which together form a multidisciplinary data approach, were utilized in the geological evaluation of hydrocarbon prospect FOB-Field, onshore Coastal Swamp Depobelt in the Niger Delta Basin. Structural interpretation of faults, correlation of wells and 3D seismic interpretation were carried out using Schlumberger’s window based petrel software integrated with various lines of evidence such as sequence boundaries and maximum flooding surfaces. The penetrated sedimentary succession was established to constrain the alternation of sand packages from proximal to distal. The studied wells were dated mid to late Miocene based on the geological position of the sequence boundary (10.35Ma) and geological ages of the Mfs (9.5MaMfs) and (10.4MaMfs) respectively corresponding to the Coastal Swamp Depobelt of the Niger Delta Basin. Integration of well logs, seismic, semblance, paleobathymetric and biostratigraphic data indicated mid to late Miocene and neritic to bathyal paleoenvironment of deposition. Integration of fault integrity, seismic, well logs and key stratigraphic markers were utilized to build a seismic facies model and a gross depositional environment model for the FOB-Field.

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