Integrated geological data, 3D post‐stack seismic inversion, depositional modelling and geostatistical modelling towards a better prediction of reservoir property distribution for near‐field exploration: A case study from the eastern Sirt Basin, Libya DOI

A. Khalifa,

Moncef Zaïri, Ahmed E. Radwan

et al.

Geological Journal, Journal Year: 2023, Volume and Issue: 59(2), P. 381 - 404

Published: Sept. 7, 2023

De‐risking the hydrocarbon potential in near‐field exploration is one of most important procedures hydrocarbons, and it requires integration various data to predict reservoir characteristics prospect area more accurately. In this work, wells 3D seismic from Libyan producing oil fields were utilized demonstrate how well technique worked improve describe carbonate geobody that corresponds Palaeocene Upper Sabil Formation, which was revealed by new data. This study integrates different types data, including seismic, acoustic impedance, depositional history geostatistical analysis, facies, porosity permeability distributions then visualize them a model. The analysis presence clear anomaly (GB) has never been penetrated any well. sedimentological for adjacent GB indicated deep‐water environment as turbidites surrounded mud dominated facies. interval subdivided based on facies stratigraphy into eight zones used build model framework. According relationships, classified five E‐Facies, is, soft highly argillaceous limestone, hard porous limestone (<20% porosity, >30% shale volume), medium quality (10–20% volume) tight (<10% volume). rock physics inversion feasibility impedance (AI) can be but not lithology or fluid content. Bayesian classification shown excellent results predicting modelling distribution within area, utilizing gross maps (GDEs), predicted using post‐stack inversion, high (25%–30%). Moreover, statistical integrated with permeability. reasonably (40–60 mD). final E‐facies show an match input blind result control (QC) higher vertical resolution. developed guide de‐risking studied basin, applied other similar geological conditions worldwide exploring underexplored reservoirs their potential.

Language: Английский

Unsupervised machine learning-based multi-attributes fusion dim spot subtle sandstone reservoirs identification utilizing isolation forest DOI
Jun Wang, Junxing Cao, Zhege Liu

et al.

Geoenergy Science and Engineering, Journal Year: 2023, Volume and Issue: 234, P. 212626 - 212626

Published: Dec. 30, 2023

Language: Английский

Citations

7
Seismic attributes and spectral decomposition-based inverted porosity-constrained simulations for appraisal of shallow-marine lower-Cretaceous sequences of Miano gas field, Southern Pakistan DOI Creative Commons
Muhammad Tayyab Naseer,

Shazia Naseem,

Abha Singh

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(4), P. e25907 - e25907

Published: Feb. 1, 2024

Seismic attributes can play an important role in the exploration of hydrocarbon-bearing stratigraphic systems. Incised valley systems are developed during falling sea, which causes deposition coarse-grained sandstone facies inside low-standing tracts (LST). These regional phenomena constrain to quantitative ultra-thin-bedded petroleum traps, e.g., vertical and lateral variations thickness, accommodation space, lithology, porosity. This study deals with application continuous wavelet transform (CWT) a spectral decomposition (SD) tool on 3D post-stack seismic volume Miano gas Field, Lower Indus basin, Pakistan. The results show that CWT accurately detected regionally faulted/fractured system distinguished frequency-dependent amplitude anomalies. wedge model resolved 24-m thick gas-bearing resource. Quality control analysis was carried out using CWT-based broadband processing between designed spectrum 17 Hz 70 Hz. reservoirs over 25% porosity were located within shale-dominated less than 8% imaged through instantaneous at 48-Hz tuning block. Moreover, 190 165-m thin-bedded zone 22-Hz 28-Hz, implicates sea standstill medium-to-coarse-grained depositional reservoir facies. traps laterally lens 121-m prograding clinoform 101-m incised 48-Hz, fine-scaled transgressed erosional implications suggest identified have development potential for this field. treatment inverted highest frequencies be utilized investigate porous stratigraphically trapped LST serve as analogue leading field Basin similar basins.

Language: Английский

Citations

2
A Comparative Study Based on Petrophysical and Cluster Analysis Approach for Identification of Rock Types in Heterogeneous Sandstone Reservoirs DOI Creative Commons

Muhammad Nofal Munir,

Mohammad Zafar,

Abid Ali

et al.

ACS Omega, Journal Year: 2024, Volume and Issue: 9(31), P. 33397 - 33407

Published: July 25, 2024

To delineate a powerful reservoir model, rock type identification is an essential task. Recognizing intervals with promising quality in heterogeneous reservoir, such as the Pab Formation, using well logs critical for better exploration, because coring programs are always impractical due to time and cost constraints. Rock types described by specific log responses, which ultimately distinguished help of electrofacies. The current study uses cluster analysis technique evaluation identified sand units. K-means employed define electrofacies, classified into four on basis quality, from bad excellent. typing has been done wells, correlation made depict changes From well-to-well correlation, it can be inferred that Formation at lower portion Zamzama-02 05 wells excellent defined 4. Zamzama-03 southwestern region, other hand, good moderate demonstrated dominating 3 2, respectively. applied prediction studied field provides continuous entire reservoir. Using this methodology defining cost-effective, requires less demarcation zones interest, more accurate than manual thick Formation. approach not only useful exploitation but also sandstone reservoirs elsewhere.

Language: Английский

Citations

2
An integrated study for seismic structural interpretation and reservoir estimation of Sawan gas field, Lower Indus Basin, Pakistan DOI Creative Commons
Muhsan Ehsan,

Muhammad Arslan Shakeel Toor,

Muhammad Iqbal Hajana

et al.

Heliyon, Journal Year: 2023, Volume and Issue: 9(5), P. e15621 - e15621

Published: April 20, 2023

The information about the subsurface structure, type of fluids present in reservoir, and physical properties rocks is essential for identifying potential leads. integrated approach petrophysical analysis, seismic data interpretation, attributes lithology, mineralogy identification, Gassmann fluid substitution were used this purpose. structural interpretation with help indicated extensional regime horst graben structures study area. two negative flower are cutting entire Cretaceous deposits. depth contour map also indicate favorable hydrocarbon accumulation. four possible reservoir zones Sawan-01 well Judge-01 at B sand C levels identified based on interpretation. main lithology Lower Goru Formation sandstone thin beds shale. clay types confirm marine depositional environment Formation. water increased P-wave velocity density. affected shear wave varies slightly due to density changes. cross plots P-impedance versus Vp/Vs ratio differentiate low from shaly high values S-impedance plot increasing gas saturation a decrease impedance values. Lambda-Rho Mu-Rho plot.

Language: Английский

Citations

5
Integrated geological data, 3D post‐stack seismic inversion, depositional modelling and geostatistical modelling towards a better prediction of reservoir property distribution for near‐field exploration: A case study from the eastern Sirt Basin, Libya DOI

A. Khalifa,

Moncef Zaïri, Ahmed E. Radwan

et al.

Geological Journal, Journal Year: 2023, Volume and Issue: 59(2), P. 381 - 404

Published: Sept. 7, 2023

De‐risking the hydrocarbon potential in near‐field exploration is one of most important procedures hydrocarbons, and it requires integration various data to predict reservoir characteristics prospect area more accurately. In this work, wells 3D seismic from Libyan producing oil fields were utilized demonstrate how well technique worked improve describe carbonate geobody that corresponds Palaeocene Upper Sabil Formation, which was revealed by new data. This study integrates different types data, including seismic, acoustic impedance, depositional history geostatistical analysis, facies, porosity permeability distributions then visualize them a model. The analysis presence clear anomaly (GB) has never been penetrated any well. sedimentological for adjacent GB indicated deep‐water environment as turbidites surrounded mud dominated facies. interval subdivided based on facies stratigraphy into eight zones used build model framework. According relationships, classified five E‐Facies, is, soft highly argillaceous limestone, hard porous limestone (<20% porosity, >30% shale volume), medium quality (10–20% volume) tight (<10% volume). rock physics inversion feasibility impedance (AI) can be but not lithology or fluid content. Bayesian classification shown excellent results predicting modelling distribution within area, utilizing gross maps (GDEs), predicted using post‐stack inversion, high (25%–30%). Moreover, statistical integrated with permeability. reasonably (40–60 mD). final E‐facies show an match input blind result control (QC) higher vertical resolution. developed guide de‐risking studied basin, applied other similar geological conditions worldwide exploring underexplored reservoirs their potential.

Language: Английский

Citations

4