DHI Analysis Using Seismic Frequency Attribute On Field-AN Niger Delta, Nigeria

Adepoju, Yaqub

doi:10.9790/0990-0110510

Cited by 5 publications

(4 citation statements)

References 4 publications

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“…Root mean square amplitude is used as a good indicator of the presence of hydrocarbon in seismic data [19]. The result of this research compares favorably with that obtained by other researchers [2,10,21,34].…”

Section: Seismic Attributessupporting

confidence: 81%

Identification of seismic attributes for hydrocarbon prospecting of Akos field, Niger Delta, Nigeria

Emujakporue

Enyenihi

2020

SN Appl. Sci.

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In this study, we have extracted and analyzed four seismic attributes of Akos oil field to obtain more information about the structures, stratigraphy and hydrocarbon potential of the Akos field from available seismic and a suite of well logs data. Two lithology and reservoirs were delineated from the well logs. Two horizons and growth faults were identified in the seismic sections. For a comprehensive analysis of the structural and stratigraphic understanding of the reservoirs, four seismic attributes variance edge, sweetness, root mean square and relative acoustic impedance were applied to the seismic data. The Variance edge analysis was used to delineate the prominent and subtle faults in the area. The high sweetness regions in the seismic data indicate high amplitude which indicates the presence of hydrocarbon-bearing sand units. The root mean square amplitude analysis also indicates the presence of hydrocarbon in seismic data. The relative acoustic impedance analysis was used for delineating lithology variation in the seismic sections. The result of the seismic attribute analysis has shown that the Akos field has good hydrocarbon prospects.

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Section: Seismic Attributessupporting

confidence: 81%

Identification of seismic attributes for hydrocarbon prospecting of Akos field, Niger Delta, Nigeria

Emujakporue

Enyenihi

2020

SN Appl. Sci.

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“…Seismic attributes analysis being an integral part of 3D seismic reflection interpretation is one of these advancements [6][7][8][9]. Seismic attributes have been widely used for detection of hydrocarbon reservoirs [9][10][11][12][13]. This study is aimed at imaging the subsurface structure of Uzot field with a view to delineate hydrocarbon prospect using seismic amplitude attributes as direct hydrocarbon indicators (DHIs).…”

Section: Introductionmentioning

confidence: 99%

Application of 3D Seismic Attribute Analyses for Hydrocarbon Prospectivity in Uzot-Field, Onshore Niger Delta Basin, Nigeria

Omoja

Obiekezie

2019

International Journal of Geophysics

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3D seismic interpretative study was carried out across the Uzot-field in the western Coastal Swamp Depobelt of the onshore Niger Delta Basin, Nigeria, with the aim to identify possible hydrocarbon leads and prospects away from the drilled zone, utilizing seismic amplitude attributes. The method employed in this study involved systematic picking of faults and mapping of horizons/reservoir tops across seismic volume and extraction of seismic attributes. Structural analysis indicates the presence of down-to-basin footwall and hanging wall faults associated with rollover anticlines and horst-block (back-to-back fault). Generated time and depth structural maps from three reservoir intervals (D3100, D5000, and D9000) revealed the presence of fault dependent closure across the field. Analyses of relevant seismic attributes such as root-mean-square (RMS) amplitude, maximum amplitude, average energy amplitude, average magnitude amplitude, maximum magnitude attribute, and standard deviation amplitude, which were applied on reservoir tops, revealed sections with bright spot anomalies. These amplitude anomalies served as direct hydrocarbon indicators (DHIs), unravelling the presence and possible hydrocarbon prospective zones. In addition, structural top maps show that booming amplitude is seen within the vicinity of fault closures, an indication that these hydrocarbon prospects are structurally controlled. Results from this study have shown that, away from currently producing zone at the central part of the field, additional leads and prospects exist, which could be further evaluated for hydrocarbon production.

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“…For reservoir characterisation (Lunina et al, 2014;Shang et al, 2022) and seismic interpretations, seismic attributes analysis has been used by many authors (Vetrici and Stewart, 1996;Strecker et al, 2004;Ajisafe and Ako, 2013;Oguadinma et al, 2016;Oguadinma et al, 2021). It also proved its importance in the classification of the depositional environment (Ahmad and Rowel, 2013;Matos and Marfurt, 2013) and the detection and enhancement of fractures and faults (Ayolabi and Adigun, 2013;Castillo, 2010;Francelino and Antunes, 2013;Santosh et al, 2013) to give details of structural history and to provide direct hydrocarbon indicator (Adepoju et al, 2013). The seismic attribute technique is often used in seismic data processing because it can enhance geological information not observed using the conventional processing method (Ayolabi and Adigun, 2013).…”

Section: Introductionmentioning

confidence: 99%

Enhanced hydrocarbon recovery using the application of seismic attributes in fault detection and direct hydrocarbon indicator in Tomboy Field, western-Offshore Niger Delta Basin

Ibekwe

Arukwe

Ahaneku

et al. 2023

Preprint

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Seismic stratigraphic and structural interpretation is often hampered by seismic resolution and, sometimes, human's inability to identify a subtle feature on the seismic. These factors have frequently led to the poor seismic interpretation of geologic features. Thus, an integral approach to studying the structural patterns and hydrocarbon bearing zones using seismic attributes were carried out on the Tomboy field using 3D seismic data covering approximately 56 km 2 of the western belt of the Niger Delta. The seismic volume underwent post-stack processing, which enhanced seismic discontinuities. A deep steering volume was first created, and several dip filters were applied to enhance faults in the study area. After that, curvature and similarity attributes were calculated on the dip-steered and fault-enhanced volume. These calculations show detailed geometry of the faults and zones of subtle lineaments. Six faults (F1, F2, F3, F4, F5, and F6) were identified and mapped. These faults range from antithetic to crestal growth faults. Two major growth faults (F5 and F6) were revealed to dip in the NE-SW directions. A near-extensive crestal fault (F4) appeared beneath the major faults. Although several minor fractures were displayed in the southern and central portion of the seismic data, the SW dipping crestal fault (F4) and growth fault F6 are responsible for holding the hydrocarbon found within the identified closures. Using attributes on the seismic data increased confidence in the mapping and interpreting structural features. Furthermore, Energy attributes were used as Direct Hydrocarbon Indicator (DHI) to visualize viable areas within the study and permits a more robust interpretation. Time slices were taken at regions of flat and bright spots. Spectral decomposition attribute was run on these slices to display areas of high amplitude reflection typical of hydrocarbon-bearing regions, which are trapped mainly by regional to sub-regional growth faults. The surface attribute calculated on the generated surface shows that the field is dominantly controlled by faults serving as traps for hydrocarbon.

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DHI Analysis Using Seismic Frequency Attribute On Field-AN Niger Delta, Nigeria

Cited by 5 publications

References 4 publications

Identification of seismic attributes for hydrocarbon prospecting of Akos field, Niger Delta, Nigeria

Identification of seismic attributes for hydrocarbon prospecting of Akos field, Niger Delta, Nigeria

Application of 3D Seismic Attribute Analyses for Hydrocarbon Prospectivity in Uzot-Field, Onshore Niger Delta Basin, Nigeria

Enhanced hydrocarbon recovery using the application of seismic attributes in fault detection and direct hydrocarbon indicator in Tomboy Field, western-Offshore Niger Delta Basin

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