Evaluation of Abu Madi Formation in Baltim North &amp; East gas fields, Egypt, using seismic interpretation and well log analysis

Kadi, Hassan H. El; Shebl, Salah; Ghorab, M.; Azab, Ahmad A.; Salama, Mousa

doi:10.1080/20909977.2020.1765275

Cited by 8 publications

(3 citation statements)

References 10 publications

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“…The match was based on a selection wavelet that created for predicting the model response [5]. The well-seismic tie depended on measuring the density and sonic logs in generating an acoustic impedance log [17]. The acoustic impedance combined with the velocity data to derive a reflection coefficient series in time.…”

Section: Methodsmentioning

confidence: 99%

New AVO Attributes and Their Applications for Facies and Hydrocarbon Prediction: A Case Study from the Northern Malay Basin

et al. 2020

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Amplitude versus offset (AVO) analysis integration to well log analysis is considered one of the advanced techniques to improve the understanding of facies and fluid analysis. Generating AVO attributes are one solution to give an accurate result in facies and fluid characterization. This study is focused on a field of Northern Malay basin, which is associated with a fluvial-deltaic environment, where this system has high heterogeneity, whether it is vertically or horizontally. This research is aimed to demonstrate an application of the scale of quality factor of P-wave (SQp) and the scale of quality factor of S-wave (SQs) AVO attributes for facies and fluid types separation in field scale. These methods are supposed to be more sensitive to predict the hydrocarbons and give less ambiguity. SQp and SQs are the new AVO attributes, which derived from AVO analysis and created according to the intercept product (A) and gradient (B). These new attributes have also been compared to the common method, which is the Scaled Poisson’s Ratio attribute. By comparing with the Scaled Poisson’s Ratio attribute, SQp and SQs attributes are more accurate in determining facies and hydrocarbon. SQp and SQs AVO attributes are integrated with well log data and considered as the best technique to determine facies and fluid distribution. They are interpreted by using angle-stack seismic data based on amplitude contrast on interfaces. Well log data, e.g., density and sonic logs, are used to generate synthetic seismogram and well tie requirements. The volume of shale, volume of coal, porosity, and water saturation logs are used to identify facies and fluid in well log scale. This analysis includes AVO gradient analysis and AVO cross plot to identify the fluid class. Gassmann’s fluid substitution modeling is also generated in the well logs and AVO synthetics for in situ, pure brine, and pure gas cases. The application of the SQp and SQs attributes successfully interpreted facies and fluids distributions in the Northern Malay Basin.

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Section: Methodsmentioning

confidence: 99%

New AVO Attributes and Their Applications for Facies and Hydrocarbon Prediction: A Case Study from the Northern Malay Basin

et al. 2020

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“…As a subsurface fluvial Paleo-valley infilling, Abu Madi Formation was deposited, widening about 20 km and extending nearly 130 km from south to north. This Formation is distinguished by fluvial-deltaic sandstones and shales onlapping landward (southward) and on the flanks of the valley against the basal erosional surface (unconformity), cutting Qawasim and Sidi Salem Formations, with a thickness of about 300 m 16 , 17 .…”

Section: Geologic Settingsmentioning

confidence: 99%

Formation evaluation of Abu Madi reservoir in Baltim gas field, Nile Delta, using well logs, core analysis and pressure data

Metwally,

Mabrouk,

Mahmoud

et al. 2023

Sci Rep

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Baltim Eastern and Northern gas fields in the offshore Nile Delta have very high gas condensate accumulations. Therefore, the present research evaluates Abu Madi and Qawasim Formations and defines the petrophysical parameters for them using various data from five wells composed of wireline logs (gamma-ray, density, neutron, sonic, resistivity), core data, pressure data, and cross-plots. In the current study, the formations of the main reservoirs were evaluated qualitatively and quantitatively based on the petrophysical analysis to assess the production potential. Based on the lithological identification, the two main reservoirs (Abu Madi and Qawasim Formations) are composed of sandstone, calcareous shale, and siltstone. The main petrophysical parameters (Shale volume, effective porosity, net thickness, and fluid saturations) were mapped to track the areal petrophysical variations in the field. The results of the petrophysical analysis reveal that the main reservoirs are promising for the hydrocarbon potential with effective porosity of 18%, low shale content with an average value of about 21%, higher gas saturation of average value of nearly 58%, net reservoir thickness ranges from 25.5 to 131.5 m, net pay thickness (effective thickness) ranges from 6 to 61 m. Also, the conventional core analysis affirms that the main reservoirs are of good effective porosity with high horizontal and vertical permeability values. There is a good match between the well-log results and the pressure data with the production data (DST “perforation tests”). Baltim East (BE3) well has the most desired petrophysical characteristics in the Baltim East gas field, while, the Baltim North-1 (BN1) well showed the most favorable petrophysical parameters in the Baltim North gas field. Different fluid contacts (gas water contact GWC) were detected by integrating all reservoir pressures. The integration of different data in our present work (well logs, core measurements, and pressure data) could reduce the drilling risks and help to determine the best locations for future exploration and development, which is considered a big challenge in the petroleum industry.

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“…The seismic tie (chronology) to well is one of the most useful tools for precisely detecting the responses of the drilled anomalies in the seismic interpretation and for quickly and simply understanding them since it establishes the relationship between seismic reflection and stratigraphy (Bacon et al, 2003;El Kadi et al, 2020). To determine the acoustic impedance log, it is necessary to measure density log and the sonic log of the formation.…”

Section: Well To Seismic Tiementioning

confidence: 99%

Contribution of Seismic Attributes in Delineating the Hydrocarbon Reservoir of Abu Madi Formation, West EL Manzala Area, the Eastern Part of Onshore Nile Delta, Egypt

al.¹

2022

Egypt. J. of Aquatic Biolo. and Fish.

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After the recent gas discoveries onshore (e.g., Noras) and offshore (e.g., Zohr), the Nile Delta have become one of the biggest gas-producing provinces in Africa (Shehata, 2008; Leila & Moscariello, 2019; Leila et al., 2020). The Nile Delta's main reservoir sources range in age from the Oligocene to the Late Pliocene. The potential for probable hydrocarbon accumulations in the Nile Delta was increased by the presence of various mature source rocks (Jurassic to Early Miocene), as well as structural and stratigraphic traps (Abdel Aal et al., 1994; EGPC, 1994; Dolson et al., 2005). The Jurassic and upper Cretaceous-lower Paleogene source rock intervals were the main sources of the thermogenic gas, condensate, and light oil accumulations in the Nile Delta

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Evaluation of Abu Madi Formation in Baltim North & East gas fields, Egypt, using seismic interpretation and well log analysis

Cited by 8 publications

References 10 publications

New AVO Attributes and Their Applications for Facies and Hydrocarbon Prediction: A Case Study from the Northern Malay Basin

New AVO Attributes and Their Applications for Facies and Hydrocarbon Prediction: A Case Study from the Northern Malay Basin

Formation evaluation of Abu Madi reservoir in Baltim gas field, Nile Delta, using well logs, core analysis and pressure data

Contribution of Seismic Attributes in Delineating the Hydrocarbon Reservoir of Abu Madi Formation, West EL Manzala Area, the Eastern Part of Onshore Nile Delta, Egypt

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