Reflectivity and spectral attribute-based reservoir characterization: a case study from "MUN" onshore Niger delta field, Nigeria

Abstract Reservoir characterization plays a significant role in the exploration, development, and production of hydrocarbon reservoirs. The use of integrated approach in characterization improves on the accuracy, certainty, and robust interpretation of reflectivity data. The study aimed to integrate...

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Main Authors: J. M. Munyithya, C. N. Ehirim, T. Dagogo
Format: Article
Language:English
Published: SpringerOpen 2020-06-01
Series:Journal of Petroleum Exploration and Production Technology
Subjects:
Online Access:https://doi.org/10.1007/s13202-020-00922-4
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author J. M. Munyithya
C. N. Ehirim
T. Dagogo
author_facet J. M. Munyithya
C. N. Ehirim
T. Dagogo
author_sort J. M. Munyithya
collection DOAJ
description Abstract Reservoir characterization plays a significant role in the exploration, development, and production of hydrocarbon reservoirs. The use of integrated approach in characterization improves on the accuracy, certainty, and robust interpretation of reflectivity data. The study aimed to integrate reflectivity and spectral attributes to adequately characterize hydrocarbon reservoirs in MUN onshore Niger delta field. Well log and rock physics analyses identified and delineated reservoirs, discriminated lithology, characterized fluid, and established relations between elastic and reservoir properties for field-wide interpretation of the reflectivity data. The wells were tied to the reflectivity data, and H4 seismic horizon was mapped. Subsequently, sweetness, reflectivity and spectral attributes were extracted along H4 horizon after inversion and spectral decomposition of the reflectivity data and independently interpreted. Channel-like structure with high-amplitudes, low-to-moderate acoustic impedance (I p), lambda–rho (λρ) and mu–rho (µρ) attribute values, and high-amplitude low-frequency spectral attributes (15–35 Hz), respectively, characteristics of hydrocarbon saturated channel sands were delineated. The channel reservoir sand is thick, porous with low volume of shale and low to moderate water saturation. Analysis of data further shows that reflectivity attributes provided a better description of fluid characteristics than the sweetness and spectral attributes, but are less sensitive to structure and exaggerated the shape and limits of the channel sands. However, the spectral attributes seem to be more robust than the reflectivity attributes in providing subtle structural and stratigraphic details of the reservoir as well as delineating by-passed hydrocarbons in the field.
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spelling doaj.art-21a31d2fd0ad4f1e8c2267e91f08fea42022-12-22T04:32:39ZengSpringerOpenJournal of Petroleum Exploration and Production Technology2190-05582190-05662020-06-011062195220510.1007/s13202-020-00922-4Reflectivity and spectral attribute-based reservoir characterization: a case study from "MUN" onshore Niger delta field, NigeriaJ. M. Munyithya0C. N. Ehirim1T. Dagogo2World Bank, ACE-CEFOR, UNIPORTPhysics Department, UNIPORTPhysics Department, UNIPORTAbstract Reservoir characterization plays a significant role in the exploration, development, and production of hydrocarbon reservoirs. The use of integrated approach in characterization improves on the accuracy, certainty, and robust interpretation of reflectivity data. The study aimed to integrate reflectivity and spectral attributes to adequately characterize hydrocarbon reservoirs in MUN onshore Niger delta field. Well log and rock physics analyses identified and delineated reservoirs, discriminated lithology, characterized fluid, and established relations between elastic and reservoir properties for field-wide interpretation of the reflectivity data. The wells were tied to the reflectivity data, and H4 seismic horizon was mapped. Subsequently, sweetness, reflectivity and spectral attributes were extracted along H4 horizon after inversion and spectral decomposition of the reflectivity data and independently interpreted. Channel-like structure with high-amplitudes, low-to-moderate acoustic impedance (I p), lambda–rho (λρ) and mu–rho (µρ) attribute values, and high-amplitude low-frequency spectral attributes (15–35 Hz), respectively, characteristics of hydrocarbon saturated channel sands were delineated. The channel reservoir sand is thick, porous with low volume of shale and low to moderate water saturation. Analysis of data further shows that reflectivity attributes provided a better description of fluid characteristics than the sweetness and spectral attributes, but are less sensitive to structure and exaggerated the shape and limits of the channel sands. However, the spectral attributes seem to be more robust than the reflectivity attributes in providing subtle structural and stratigraphic details of the reservoir as well as delineating by-passed hydrocarbons in the field.https://doi.org/10.1007/s13202-020-00922-4Spectral attributesReflectivity attributesReservoir characterizationCross-plots
spellingShingle J. M. Munyithya
C. N. Ehirim
T. Dagogo
Reflectivity and spectral attribute-based reservoir characterization: a case study from "MUN" onshore Niger delta field, Nigeria
Journal of Petroleum Exploration and Production Technology
Spectral attributes
Reflectivity attributes
Reservoir characterization
Cross-plots
title Reflectivity and spectral attribute-based reservoir characterization: a case study from "MUN" onshore Niger delta field, Nigeria
title_full Reflectivity and spectral attribute-based reservoir characterization: a case study from "MUN" onshore Niger delta field, Nigeria
title_fullStr Reflectivity and spectral attribute-based reservoir characterization: a case study from "MUN" onshore Niger delta field, Nigeria
title_full_unstemmed Reflectivity and spectral attribute-based reservoir characterization: a case study from "MUN" onshore Niger delta field, Nigeria
title_short Reflectivity and spectral attribute-based reservoir characterization: a case study from "MUN" onshore Niger delta field, Nigeria
title_sort reflectivity and spectral attribute based reservoir characterization a case study from mun onshore niger delta field nigeria
topic Spectral attributes
Reflectivity attributes
Reservoir characterization
Cross-plots
url https://doi.org/10.1007/s13202-020-00922-4
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AT tdagogo reflectivityandspectralattributebasedreservoircharacterizationacasestudyfrommunonshorenigerdeltafieldnigeria