Seismic Attributes Prediction of Changling Gas Field, Northeast China

2014 ◽  
Vol 962-965 ◽  
pp. 604-607
Author(s):  
Xiao Yu Yu ◽  
Yong Yuan ◽  
Jin Liang Zhang ◽  
Yuan Yuan Wang

Reservoir plane features of Changling No.1 gas field is analyzed with multiattribute analysis. Through the production of fine synthetic seismograms, the research area is analyzed by seismic attribute. On the basis of the calibration of synthetic seismograms and interpretation of horizon, accurate corresponding relation between the seismic reflection and geological horizon is established. By means of multiple attribute extraction technology, relatively independent attributes related to oil and gas are selected, and afterwards the analysis of the petrophysical characteristics and the optimization of the seismic attribute are achieved. Finally, through the seismic attributes analysis technology and the horizon slice technology, the favorable areas of gas accumulation are predicted.

2013 ◽  
Vol 868 ◽  
pp. 138-141
Author(s):  
Yong Yuan ◽  
Jin Liang Zhang ◽  
Ning Ning Meng

Reservoir plane features of Zhong 2 block in Junggar Basin is analyzed with multiattribute analysis. Through the production of fine synthetic seismograms, the research area is analyzed by seismic attribute. On the basis of the calibration of synthetic seismograms and interpretation of horizon, accurate corresponding relation between the seismic reflection and geological horizon is established. By means of multiple attribute extraction technology, relatively independent attributes related to oil and gas are selected, and afterwards the analysis of the petrophysical characteristics and the optimization of the seismic attribute are achieved. Finally, through the seismic attributes analysis technology and the horizon slice technology, and seismic inversion is conducted, the favorable areas of oil accumulation are predicted.


2014 ◽  
Vol 962-965 ◽  
pp. 608-611
Author(s):  
Xiao Song Li ◽  
Yong Yuan ◽  
Jin Liang Zhang ◽  
Xin Lv

Sedimentary facies plane features of Changling No.1 gas field is analyzed with multiattribute analysis. In Changling area, the signal to noise ratio of the seismic data is low and the sand body distribution in lateral lithologic reservoir changes fast. In this condition, research of seismic sedimentology is launched. Through the seismic stratigraphic classification, the target stratum, Denglouku group is divided into four sand groups. On the basis of the calibration of synthetic seismograms and interpretation of horizon, accurate corresponding relation between the seismic reflection and geological horizon is established. By means of multiple attribute extraction technology, relatively independent attributes related to oil and gas are selected, and afterwards the analysis of the petrophysical characteristics and the optimization of the seismic attribute are achieved. Finally, through the seismic attributes analysis technology and the horizon slice technology, combined with the result of sedimentary facies analysis, the favorable areas of gas accumulation are predicted.


2013 ◽  
Vol 807-809 ◽  
pp. 2147-2150
Author(s):  
Guo Wei Hou ◽  
Yong Yuan ◽  
Jin Liang Zhang

Reservoir plane features of Lishui depression in East China Sea Basin is analyzed with multiattribute analysis. Through the production of fine synthetic seismograms, the research area is analyzed by seismic attribute. On the basis of the calibration of synthetic seismograms and interpretation of horizon, accurate corresponding relation between the seismic reflection and geological horizon is established. By means of multiple attribute extraction technology, relatively independent attributes related to oil and gas are selected, and afterwards the analysis of the petrophysical characteristics and the optimization of the seismic attribute are achieved. Finally, through the seismic attributes analysis technology and the horizon slice technology, and seismic inversion is conducted, the favorable areas of oil accumulation are predicted.


2021 ◽  
pp. 1-36
Author(s):  
Zhiwei Xiao ◽  
Li Wang ◽  
Ruizhao Yang ◽  
Dewei Li ◽  
Lingbin Meng

An ultradeep, faulted karst reservoir of Ordovician carbonate was discovered in the Shunbei area of the Tarim Basin. Fractured-cavity reservoirs buried beneath the large thickness of upper Ordovician mudstone were formed along the fault-karst belts. The hydrocarbon accumulation in these reservoirs is controlled by the fault system, and the oil-gas accumulation was affected by karstification and hydrothermal reformation. Previous studies and 2D modeling revealed that the reservoirs had “bright spot” amplitude responses like “string beads,” and they have developed along the strike-slip faults. However, describing such a complex fault-controlled karst system is still a difficult problem that has not been well addressed. We have sought to instruct the attribute expression of faulted karst reservoirs in the northern part of the Tarim Basin. We applied coherence and fault likelihood (FL) seismic attributes to image faults and fractures zones. We then used a trend analysis method to calculate the residual impedance from the impedance of the acoustic inversion, using the fact that residual impedance has higher lateral resolution in reservoir predictions. Finally, we integrated the coherence, FL, and residual impedance attributes into a new seismic attribute, the “fault-vuggy body,” with a certain fusion coefficient. The fault-vuggy body attribute establishes a connection between faults and karst cavities. This method could help in the characterization and prediction of carbonate faulted karst reservoirs. Available drilling data were used to validate that the fused fault-vuggy body attribute was an effective reservoir prediction method. As the seismic sections and slices along the layer help delineate, the distribution of bright spots and strike-slip faults indicates that the main strike-slip fault zones are the most favorable reservoirs in the Shunbei Oil and Gas Field.


2021 ◽  
pp. 99-108
Author(s):  
Sergiy VYZHVA ◽  
Ihor SOLOVYOV ◽  
Ihor МYKHALEVYCH ◽  
Viktoriia KRUHLYK ◽  
Georgiy LISNY

Based on the results of numerous seismic studies carried out in the areas and fields of the Dnipro-Donets depression, the strategy to identify hydrocarbon traps in this region has been developed taking into account modern requirements for prospecting and exploration of gas and oil fields. The studies are designed to determine the favorable zones of hydrocarbon accumulations based on the analysis of the structural-tectonic model. A necessary element for solving such a problem is to aaply direct indicators of hydrocarbons to predict traps of the structural, lithological or combined type. It was determined that an effective approach to identify hydrocarbon traps in the region is attribute analysis employing seismic attributes such as seismic envelope, acoustic impedance or relative acoustic impedance. In most cases of practical importance, the analysis of the distribution of the values of these attributes turned out to be sufficient for performing the geological tasks. It is given an example of extracting additional useful information on the spatial distribution of hydrocarbon traps from volumetric images obtained from seismograms of common sources with a limited range of ray angles inclinations. To analyze the distributions of seismic attribute values, it is recommended to use the Geobody technology for detecting geological bodies as the most effective when using volumetric seismic data. The distributions of various properties of rocks, including zones of increased porosity or zones of presence of hydrocarbons are determined depending on the types of seismic attributes used in the analysis,. The use of several seismic attributes makes it possible to identify geological bodies saturated with hydrocarbons with increased porosity and the like. The paper provides examples of hydrocarbon traps recognition in the areas and fields of the Dnipro-Donets depression practically proved by wells. A generalization on the distribution of promising hydrocarbon areas on the Northern flank of the Dnipro-Donets depression and the relationship of this distribution with the identified structural elements of the geological subsoil is made. 


Author(s):  
Suleman Mauritz Sihotang ◽  
Ida Herawati

Seismic inversion method has been widely used to obtain reservoir property in an oil and gas field. In this research, one of inversion methods known as simultaneous inversion is used to analyze reservoir characterization at Poseidon Field, Browse Basin. Simultaneous inversion is applied to partial angle stack data and result in volume of Acoustic Impedance (AI), Shear Impedance (SI) and Lame parameter (LMR). The objective of this study is to determine distribution of sandstone lithology with gas saturated in Plover reservoir formation. Sensitivity analysis is done by cross-plotting elastic and Lame parameter from five well log data and analyzing lithology type and fluid saturation. Based on those cross-plots, lithological type can be identified from AI, λρ, µρ and λ/µ parameters. Meanwhile, the presence of gas can be discriminated using SI, λρ, and λ/µ parameters. Gas-saturated sandstone presence is characterized by Lambda-Rho value less than 50 GPa g cc-1 and Lambda over Mu value less than 0.8 GPa g cc-1. Maps of each parameter are generated at reservoir interval. Based on those maps, it can be concluded that gas sand spread out in the eastern and western areas of research area.


2017 ◽  
Author(s):  
Herminio Passalacqua ◽  
Jose Luis Ortiz Volcan ◽  
Mohamad Hasan Al Einawi ◽  
Jamaneh Mostafa Kadnaji ◽  
Fatemah Karam

Geophysics ◽  
2015 ◽  
Vol 80 (2) ◽  
pp. B35-B43 ◽  
Author(s):  
Zhiguo Wang ◽  
Jinghuai Gao ◽  
Daxing Wang ◽  
Qiansheng Wei

The Lower Permian Xiashihezi Formation of the Ordos Basin is the largest producer of tight gas sand in China. The controls on tight gas production are many and include a variety of geologic, hydrodynamic, and engineering factors from one well to another throughout the basin. In this study, we considered data from a [Formula: see text] 3D seismic volume and logs from 17 wells to investigate the geologic controls on gas production in the [Formula: see text] member of the Xiashihezi Formation, eastern Sulige gas field, Ordos Basin. Our objective was to determine the potential of applying multiple seismic attributes to identify the higher productivity areas of a tight gas sand reservoir. To achieve this, we used amplitude, complex traces, spectral decomposition, and seismic attenuation attributes derived from the 3D seismic volume to detect gas-bearing sand areas. The results of seismic attribute analysis revealed that no single attribute is correlated to higher productivity areas. The qualitative correlations between attributes and production records reflected that higher productivity areas are associated with seismically definable higher amplitude, more stable phase, tuning frequency, and stronger attenuation features in the study area. Meanwhile, three outlier wells in the seismic attribute analysis provided a reminder of the uncertainty in geologic interpretation. The gas-sand reservoir evaluation results suggested that the Pareto principle helps to enhance the interpretation needed to determine the productivity distribution of [Formula: see text] tight-gas reservoir in the study area.


2020 ◽  
Vol 8 (2) ◽  
pp. SJ17-SJ34 ◽  
Author(s):  
Shuvajit Bhattacharya ◽  
Sumit Verma

Exploration of the Brookian sandstone reservoirs in the Nanushuk and Torok Formations on the North Slope of Alaska is a hot topic and presents opportunities to the oil and gas community because of their shallow depth, vast extent, and scope of development. The consecutive hydrocarbon discoveries announced by Repsol-Armstrong, Caelus Energy, and ConocoPhillips in 2015, 2016, and 2017 have indicated the presence of the vast recoverable resources on the North Slope in the Nanushuk and Torok reservoirs. We have investigated the detailed geophysical and petrophysical characteristics of these reservoirs. Our goal is to detect dominant geologic features in these formations using a combination of seismic attributes at the regional scale and analyze critical petrophysical and rock physics properties to evaluate formation heterogeneities and identify the reservoir targets by integrating well log and core data at the well scale. The Nanushuk Formation is expressed as topset reflections, whereas the Torok and gamma-ray zone formations are expressed as foresets and bottomsets on the seismic reflection data. Using seismic attributes, we mapped the extent of different geomorphological features, including shelf edges, channels, slides, and basin-floor fans, all with significant amplitude anomalies. The shelf edges continue for tens to hundreds of miles along the north/northwest and east–west directions, depending on the areas. The internal characters of these formations delineated by conventional well logs and advanced petrophysical analysis reveal their vertical heterogeneities and complexities, in terms of reservoir properties. We conclude that the reservoirs are vertically and laterally heterogeneous. These are thin-bedded low-resistivity reservoirs. Only a few zones in the parasequences are oil-saturated. We find that a combination of low [Formula: see text] ratio and acoustic impedance can be a useful proxy to detect the hydrocarbon-bearing sand intervals in these formations.


Geophysics ◽  
2001 ◽  
Vol 66 (6) ◽  
pp. 1947-1959 ◽  
Author(s):  
Philippe Steeghs ◽  
Guy Drijkoningen

The variation of frequency content of a seismic trace with time carries information about the properties of the subsurface reflectivity sequence. As a result, analysis of the data in terms of the local frequency content can provide a worthwhile addition to the standard procedures that are used in seismo‐stratigraphic interpretation. The theory of quadratic time‐frequency representations provides a solid foundation for local frequency analysis of seismic data and seismic attribute extraction. Two applications of the quadratic time‐frequency representations are demonstrated: seismic sequence analysis and seismic attribute extraction. The joint time‐frequency representation of a seismic reflection pattern is often much more easily interpreted in terms of subsurface stratification than the time‐or frequency‐domain description alone. We show how the time‐frequency representation can be used to delineate seismic sequences on the basis of the time‐frequency characteristics of the signal. There exists a close relation between complex‐trace attribute analysis and quadratic time‐frequency representations. In the time‐frequency approach, the seismic attributes are characteristics of the local spectrum. Extraction of the attributes from the time‐frequency representation of the seismic trace leads to considerable improvement of the signal‐to‐noise ratio of the attributes. Furthermore, the classic set of seismic attributes of instantaneous amplitude, phase, and frequency can be easily extended with other parameters describing the local spectrum, such as instantaneous bandwidth, skewness, and kurtosis.


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