Gas prediction using an improved seismic dispersion attribute inversion for tight sandstone gas reservoirs in the Ordos Basin, China

Guo, Zhiqi; Zhao, Danyu; Liu, Cai

doi:10.1016/j.jngse.2022.104499

Cited by 15 publications

(6 citation statements)

References 41 publications

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“…In seismology, the ratio of the longitudinal wave velocity of the transverse wave velocity can be used to determine Poisson's ratio. In hydrocarbon seismic exploration, the prestack seismic inversion method is usually used to obtain Poisson's ratio [50][51][52][53]. Given the longitudinal wave velocity Vp and transverse wave velocity Vs, Poisson's ratio can be obtained through the intrinsic relationship of the elastic parameters (4):…”

Section: Poisson's Ratio Genetic Inversionmentioning

confidence: 99%

Accurate identification of traps and pinch-outs on a stratigraphic reservoir-A case from Hala’alate Mountain in the Junggar Basin, China

Li,

Yang,

Wang

et al. 2024

PLoS ONE

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In the investigation of stratigraphic reservoirs, a significant discrepancy frequently exists between the delineation of the formation pinch-out line as traced using the characteristics of seismic wave reflections and the actual location of the formation pinch-out line. This has been the main problem restricting further hydrocarbon exploration and development. In this study, Hala’alate Mountain on the northwestern margin of the Junggar Basin is taken as an example for carrying out the study of stratigraphic reservoirs by integrating logging, drilling, and 3D seismic data. On the one hand, in studies based on the identification of formation pinch-out points using seismic data, the identification error of reservoir pinch-out lines is reduced by the improved included angle extrapolation method by utilizing the half energy attribute. On the other hand, the Poisson’s ratio curve is reconstructed using acoustic curves and oil-gas sensitive logging, then the reservoir oil-bearing facies zone is predicted using Poisson’s ratio post-stack genetic inversion to comprehensively analyze the controlling factors of stratigraphic reservoirs. The study area mainly features structural lithologic reservoirs, structural stratigraphic reservoirs and stratigraphic overlaps that pinch out reservoirs. The boundary of a stratigraphic reservoir is affected by the dip angle of the unconformity surface, the formation dip angle, and other factors. The improved included angle extrapolation method improves the identification accuracy of stratigraphic overlap pinch-out reservoirs. The reservoir distribution then is calculated according to Poisson’s ratio inversion, improving the prediction accuracy for the reservoir. This method improves the predictive effect for stratigraphic reservoirs and provides a new idea for the exploration and development of similar reservoirs.

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Section: Poisson's Ratio Genetic Inversionmentioning

confidence: 99%

Accurate identification of traps and pinch-outs on a stratigraphic reservoir-A case from Hala’alate Mountain in the Junggar Basin, China

Li,

Yang,

Wang

et al. 2024

PLoS ONE

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“…Guo et al. (2022) proposed a new inversion technique that improved seismic dispersion inversion research by predicting gas saturation using bulk modulus‐related dispersion attributes. Frequency‐dependent attribute inversion can be used to identify reservoir fluids, as demonstrated by previous studies.…”

Section: Introductionmentioning

confidence: 99%

“…Bing et al (2011) used the frequency slice wavelet transform (FSWT) method to distinguish between gas-and water-bearing sandstone reservoirs in seismic data. Guo et al (2022) proposed a new inversion technique that improved seismic dispersion inversion research by predicting gas saturation using bulk modulus-related dispersion attributes. Frequency-dependent attribute inversion can be used to identify reservoir fluids, as demonstrated by previous studies.…”

Section: Introductionmentioning

confidence: 99%

Predicting sandstone water abundance using seismic dispersion attribute inversion: A case study of Yuwang coal mine, China

She,

Zou,

Gong

et al. 2024

Geophysical Prospecting

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Predicting the water abundance of coal‐bearing strata is crucial for ensuring mining safety. However, owing to the dispersion and attenuation characteristics caused by pore fluid flow, it is difficult to estimate the water abundance of coal seam roof aquifers using seismic data. To overcome this challenge, we provide the relationship between the frequency‐dependent seismic wave velocity and water saturation based on the Chapman fracture model and the mixing fluid model. We propose a seismic dispersion attribute technique that can use dispersion information as an indicator of water abundance. Numerical experiment results show that the water saturation of the sandstone aquifer is positively correlated with the dispersion attribute. The results of low‐frequency rock physical experiments are roughly consistent with those predicted by the model for the given parameters. Using seismic dispersion attribute inversion and the frequency slice wavelet transform method, we predicted the water abundance of sandstone in the coal seam roof of the Yuwang coal mine in Yunnan Province, China. The predicted sandstone water abundance was compatible with the actual water‐rich scenario observed in well logs and downhole drilling in the study area. Therefore, the method proposed herein has the potential to quantitatively determine the water abundances of sandstone aquifers in coal seam roofs.

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“…Compared with the conventional wave impedance inversion method, waveform indication inversion can improve the lateral and vertical resolution and the certainty of inversion results to a certain extent. It is a high-resolution inversion method [2][3][4][5][6] that can meet the requirements of thin reservoir prediction.…”

Section: Introductionmentioning

confidence: 99%

Waveform Indication Inversion Method Optimization

Guan

2023

Advances in Transdisciplinary Engineering

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Reservoir development is complicated, so it is limited to use well pattern data or seismic data alone. The development of seismic inversion technology is becoming more and more mature, and remarkable results have been achieved in reservoir prediction, but the sparse pulse inversion and geostatistics inversion have the disadvantages of low resolution and high randomness. With the increasing difficulty of oilfield development, the prediction of thin layer is particularly important. Taking Block A as an example, according to the development characteristics of different reservoir groups, the inversion method of well vibration combined with waveform indication suitable for the reservoir characteristics of the study area is optimized. The simulation method of spontaneous potential curve waveform is applied to the Saltu and Puhuhua reservoirs, while the target probability simulation method is applied to the Gaotaizi reservoirs.

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Gas prediction using an improved seismic dispersion attribute inversion for tight sandstone gas reservoirs in the Ordos Basin, China

Cited by 15 publications

References 41 publications

Accurate identification of traps and pinch-outs on a stratigraphic reservoir-A case from Hala’alate Mountain in the Junggar Basin, China

Accurate identification of traps and pinch-outs on a stratigraphic reservoir-A case from Hala’alate Mountain in the Junggar Basin, China

Predicting sandstone water abundance using seismic dispersion attribute inversion: A case study of Yuwang coal mine, China

Waveform Indication Inversion Method Optimization

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