Integration of well log-derived facies and 3D seismic attributes for seismic facies mapping: A case study from mansuri oil field, SW Iran

Zahmatkesh, Iman; Kadkhodaie, Ali; Soleimani, Bahman; Azarpour, Moslem

doi:10.1016/j.petrol.2021.108563

Cited by 20 publications

(5 citation statements)

References 38 publications

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“…Seismic image analysis techniques were precisely used to detect subsurface geological features and target reflectors (bed boundaries) by the addition of automatic seismic imaging techniques. Automatic seismic imaging techniques have some drawbacks were not properly working in that areas where subsurface geological structures were complex and have lowresolution data sets (Zahmatkesh et al, 2021;Hosseini-Fard et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Analyzing the seismic attributes, structural and petrophysical analyses of the Lower Goru Formation: A case study from Middle Indus Basin Pakistan

Tounkara

Ehsan²,

Iqbal³

et al. 2023

Front. Earth Sci.

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The purpose of this research is to delineate the structures of the Lower Goru Formation, investigate fluid properties, and clarify the hydrocarbon-prone areas through seismic attributes analysis. First, the acquired data was matched by the interpretation datum. Structural analysis was done by performing horizon interpretation, fault interpretation, and contour mapping on the C-Interval of the Lower Goru Formation. Hydrocarbon zones were marked with the help of attribute analysis on seismic sections and were justified by petrophysical analysis. An integrated approach such as seismic structural interpretation, seismic attribute, spectral decomposition, and petrophysical analyses was used in current research to better understand geological structure and features. This research showed that normal faults are present in the area showing negative flower structure, horst and graben, and faults oriented north-west to south-east. The contour map shows structural inclination and faults bound closure near well locations. Variance attribute and spectral decomposition attribute were used to verify horizon lineation and fault behavior. Instantaneous amplitude and instantaneous phase attributes justify hydrocarbon bearing zones, and bright spots are present on seismic sections at C–Interval of Lower Goru Formation. Petrophysical analysis of the available wells showed a number of significant hydrocarbon zones having more than 55% of hydrocarbon saturation at the C-Interval of the Lower Goru Formation. The four possible reservoir zones in Sawan-02 well, two zones in Sawan-07 well, and three zones in Sawan-09 well are identified based on well data interpretation. Based on these analyses, the area of interest has a very good reservoir potential, structural closure, and visible bright spots. The current finding of this research will be helpful for future exploration and development of the Sawan area.

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Section: Introductionmentioning

confidence: 99%

Analyzing the seismic attributes, structural and petrophysical analyses of the Lower Goru Formation: A case study from Middle Indus Basin Pakistan

Tounkara

Ehsan²,

Iqbal³

et al. 2023

Front. Earth Sci.

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“…Wells can deliver direct information of the local reservoir properties such as porosity, permeability, fracture orientation and -intensity, lithology, and facies types, but sparsely-located wells are unable to depict the spatial distribution of the properties. A method that is especially suited to depict the spatial changes related to geological and petrophysical variations is 3D seismic attribute analysis of 3D reflection seismic (Chopra & Marfurt, 2007;Ashraf et al, 2019;Zahmatkesh et al, 2021). Seismic attributes are quantities derived from seismic data, based on e.g., time, amplitude, frequency, phase, velocity, and attenuation (Chopra & Marfurt, 2007).…”

Section: Introductionmentioning

confidence: 99%

“…Various studies have therefore attempted to show the benefits of a combined approach using both seismic and well data, in order to reduce the uncertainties of reservoir characterization (Toublanc et al, 2005;Fang et al, 2017;Albesher et al, 2020;Boersma et al, 2020;Méndez et al, 2020). Another aspect to consider is that manual interpretation of seismic data can be a very time-consuming task due to the high amount of data, which is why computational solutions, such as supervised and unsupervised neural networks have been increasingly used for seismic interpretation, pattern recognition, and lithology classification in recent years (Saggaf et al, 2003;Baaske et al, 2007;Bagheri & Riahi, 2015;Roden et al, 2015;Brcković et al, 2017;Zahmatkesh et al, 2021). Besides the long-time use for hydrocarbon reservoir investigation, seismic attribute analysis has also been increasingly used in geothermal exploration in recent years, especially for complex structured reservoirs (Pendrel, 2001;Chopra & Marfurt, 2007;Doyen, 2007;Abdel-Fattah et al, 2020), e.g., in Poland (Pussak et al, 2014) and Denmark (Bredesen et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Advanced seismic characterization of a geothermal carbonate reservoir – Insight into the structure and diagenesis of a reservoir in the German Molasse Basin

Wadas

Bauer

Shipilin

et al. 2023

Preprint

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Abstract. The quality of geothermal carbonate reservoirs is controlled by numerous factors and processes, such as the depositional environment, lithology, diagenesis, karstification, fracture networks, and tectonic deformation. Carbonatic rock formations are thus often extremely heterogeneous, and reservoir parameters and their spatial distribution are therefore difficult to predict. For the example of a 3D seismic dataset combined with well data from Munich, Germany, we demonstrate, how an advanced analysis can deliver an improved reservoir model concept and help to identify possible exploitation targets within the Upper Jurassic carbonates. To identify possible reservoir sections and to understand their above-mentioned controlling factors, we analyse different seismic single- and multi-attributes. Some of the seismic attributes, together with lithology logs from wells, are then used to identify parameter correlations between the seismic attributes and the different carbonate lithologies to obtain a supervised neural network based 3D lithology model of the geothermal reservoir. Furthermore, we compare the fracture orientations measured in seismic (ant-tracking analysis) and well scale (image log analysis), to address scalability. Our results show that, for example, acoustic impedance is well suited to identify reefs and karst-related dolines. Areas with strong karstification or fault- and fracture-related deformation, which are both associated with high permeabilities, are also indicated by e.g. strong frequency attenuation, variance anomalies, and/or morphological features like bowl-shaped structures derived from the shape index. Furthermore, by using sweetness we can reconstruct the reef development of two exemplary reefs, and regarding the lithology distribution, we show that the upper part of the reservoir is dominated by limestone and dolomitic limestone rather than dolomite. In addition, we observe spatial trends in the degree of dolomitization. With respect to the fracture orientations on seismic- and well scales, we point out that a general scalability is not possible due to a combination of methodological limitations and geological reasons. Nonetheless, we argue that the combination of both methods provides an improved overall impression of the fracture systems, and therefore possible fluid pathways. By taking all the results into account, we are able to improve and adapt recent reservoir concepts to outline the different phases of its structural and diagenetic evolution. Furthermore, our results help to identify high quality reservoir zones in the Munich area.

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“…Wells can deliver direct information on the local reservoir properties such as porosity, permeability, fracture orientation and intensity, lithology, and facies types, but sparsely located wells are unable to depict the spatial distribution of the properties. A method that is especially suited to depict the spatial changes related to geological and petrophysical variations is 3D seismic attribute analysis of 3D reflection seismic (Chopra and Marfurt, 2007;Ashraf et al, 2019;Zahmatkesh et al, 2021). Seismic attributes are quantities derived from seismic data based on e.g.…”

Section: Introductionmentioning

confidence: 99%

“…Various studies have therefore attempted to show the benefits of a combined approach using both seismic and well data in order to reduce the uncertainties of reservoir characterization (Toublanc et al, 2005;Fang et al, 2017;Albesher et al, 2020;Boersma et al, 2020;Méndez et al, 2020). Another aspect to consider is that manual interpretation of seismic data can be a very time-consuming task due to the high amount of data, which is why computational solutions, such as supervised and unsupervised neural networks, have been increasingly used for seismic interpretation, pattern recognition, and lithology classification in recent years (Saggaf et al, 2003;Baaske et al, 2007;Bagheri and Riahi, 2015;Roden et al, 2015;Brcković et al, 2017;Zahmatkesh et al, 2021). Besides the long-time use for hydrocarbon reservoir investigation, seismic attribute analysis has also been increasingly used in geothermal exploration in recent years, especially for complex structured reservoirs (Pendrel, 2001;Chopra and Marfurt, 2007;Doyen, 2007;Abdel-Fattah et al, 2020), e.g.…”

Section: Introductionmentioning

confidence: 99%

Advanced seismic characterization of a geothermal carbonate reservoir – insight into the structure and diagenesis of a reservoir in the German Molasse Basin

Wadas,

Krumbholz,

Shipilin

et al. 2023

Solid Earth

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Abstract. The quality of geothermal carbonate reservoirs is controlled by, for instance, depositional environment, lithology, diagenesis, karstification, fracture networks, and tectonic deformation. Carbonatic rock formations are thus often extremely heterogeneous, and reservoir parameters and their spatial distribution difficult to predict. Using a 3D seismic dataset combined with well data from Munich, Germany, we demonstrate how a comprehensive seismic attribute analysis can significantly improve the understanding of a complex carbonate reservoir. We deliver an improved reservoir model concept and identify possible exploitation targets within the Upper Jurassic carbonates. We use seismic attributes and different carbonate lithologies from well logs to identify parameter correlations. From this, we obtain a supervised neural-network-based 3D lithology model of the geothermal reservoir. Furthermore, we compare fracture orientations measured in seismic (ant-tracking analysis) and well scale (image log analysis) to address scalability. Our results show that, for example, acoustic impedance is suitable to identify reefs and karst-related dolines, and sweetness proves useful to analyse the internal reef architecture, whereas frequency- and phase-related attributes allow the detection of karst. In addition, reef edges, dolines, and fractures, associated with high permeabilities, are characterized by strong phase changes. Fractures are also identified using variance and ant tracking. Morphological characteristics, like dolines, are captured using the shape index. Regarding the diagenetic evolution of the reservoir and the corresponding lithology distribution, we show that the Upper Jurassic carbonate reservoir experienced a complex evolution, consisting of at least three dolomitization phases, two karstification phases, and a phase of tectonic deformation. We observe spatial trends in the degree of dolomitization and show that it is mainly facies-controlled and that karstification is facies- and fault-controlled. Karstification improves porosity and permeability, whereas dolomitization can either increase or decrease porosity. Therefore, reservoir zones should be exploited that experienced only weak diagenetic alteration, i.e. the dolomitic limestone in the upper part of the Upper Jurassic carbonates. Regarding the fracture scalability across seismic and well scales, we note that a general scalability is, due to a combination of methodological limitations and geological reasons, not possible. Nevertheless, both methods provide an improved understanding of the fracture system and possible fluid pathways. By integrating all the results, we are able to improve and adapt recent reservoir concepts, to outline the different phases of the reservoir's structural and diagenetic evolution, and to identify high-quality reservoir zones in the Munich area. These are located southeast at the Ottobrunn Fault and north of the Munich Fault close to the Nymphenburg Fault.

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Integration of well log-derived facies and 3D seismic attributes for seismic facies mapping: A case study from mansuri oil field, SW Iran

Cited by 20 publications

References 38 publications

Analyzing the seismic attributes, structural and petrophysical analyses of the Lower Goru Formation: A case study from Middle Indus Basin Pakistan

Analyzing the seismic attributes, structural and petrophysical analyses of the Lower Goru Formation: A case study from Middle Indus Basin Pakistan

Advanced seismic characterization of a geothermal carbonate reservoir – Insight into the structure and diagenesis of a reservoir in the German Molasse Basin

Advanced seismic characterization of a geothermal carbonate reservoir – insight into the structure and diagenesis of a reservoir in the German Molasse Basin

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