Lithologic Reservoirs ›› 2026, Vol. 38 ›› Issue (5): 83-93.doi: 10.12108/yxyqc.20260508

• PETROLEUM EXPLORATION • Previous Articles     Next Articles

Seismic identification and favorable exploration zones of thin interbedded dolomite reservoirs in the fourth member of Triassic Jialingjiang Formation, southwestern Sichuan Basin

LI Suhua1,2(), XIAO Bin3   

  1. 1 Research Institute of Exploration and Development, South-west Oil & Gas Branch, Sinopec, Chengdu 610041, China
    2 Key Laboratory of Oil & Gas Reservoir Geophysics, Sinopec, Nanjing 211103, China
    3 Qian’an Oil Production Plant, PetroChina Jilin Oilfield Company, Songyuan 131400, Jilin, China
  • Received:2026-06-28 Revised:2026-07-12 Online:2026-09-01 Published:2026-09-04

Abstract:

To address the identification difficulty of thin dolomite reservoirs of the fourth member of Triassic Jia-lingjiang Formation in Jingyan area of southwestern Sichuan Basin, a set of seismic identification methods for thin reservoirs was proposed to clarify the distribution characteristics of dolomite reservoirs and gypsum non-reservoirs in the fourth member of Jialingjiang Formation. Based on the structural location, reservoir thickness, fault evolution, and hydrocarbon accumulation configuration relationship, favorable exploration areas were predicted. The results show that: (1) The proposed method identifies the development characteristics of dolomite reservoirs and gypsum rocks through well-seismic calibration. Based on forward modeling, the optimal dominant frequency for identifying thin reservoirs is determined to be 60 Hz. The seismic data is processed by amplitude-preserved denoising. With the help of compressed wavelet transform harmonic decomposition and compensating high-frequency components, the bandwidth is broadened to improve the resolution. Frequency-division seismic information is integrated to carry out high resolution nonlinear neural network porosity inversion, so as to improve the prediction accuracy of thin reservoirs. (2) After amplitude-preserved denoising and improving resolution, the seismic data matches well with the 60 Hz Ricker wavelet calibration results, allowing clear identification of the interfaces of each submember in the fourth member of Jialingjiang Formation and enabling detailed stratigraphic tracking. The high resolution porosity inversion results match well with logging porosity curves, with an absolute error of 0.02% and a relative error of 0.20% in the verification well. (3) The high-quality thick-layer (16-22 m) dolomite reservoirs in the study area are mainly developed in the lower submember of the fourth member of Jia-lingjiang Formation, and are mainly distributed in the south part of the study area on the plane. The non-reservoir layers such as gypsum and dolomite gypsum in the middle and upper submember of the fourth member of Jia-lingjiang Formation, with thickness of 50-80 m, can serve as effective cap rocks. (4) The study area has experienced multi-stage tectonic movements, with two sets of faults trending NW-SE and NE-SW mostly extending into Jialingjiang Formation. The fault evolution matches the periods when Cambrian and Permian source rocks generated and expelled hydrocarbons. The south part of the study area has high structural positions, thick dolomite reservoirs, developed hydrocarbon-source faults and fractures, well-preserved gas reservoirs condition, and optimal hydrocarbon accumulation conditions, making it the favorable exploration area.

Key words: thin dolomite reservoirs, amplitude-preserved denoising, high resolution, nonlinear neural network inversion, favorable exploration areas, the fourth member of Jialingjiang Formation, Triassic, Jingyan area, Sichuan Basin

CLC Number: 

  • TE122.2

Fig. 1

Regional structure and sedimentary characteristics of Triassic Jialingjiang Formation in Jingyan area (a) and comprehensive stratigraphic column (b), southwestern Sichuan Basin"

Fig. 2

Synthetic records calibration of conventional seismic data from the fourth member of Triassic Jialingjiang Formation in well A, southwestern Sichuan Basin"

Fig. 3

Reflection characteristics of conventional seismic data from the fourth member of Triassic Jialingjiang Formation in well A, southwestern Sichuan Basin"

Fig. 4

Forward modeling and forward simulation results of Ricker wavelets at different frequencies of Triassic Jialingjiang Formation in Jingyan area, southwestern Sichuan Basin"

Fig. 5

High resolution seismic data processing results of Triassic Jialingjiang Formation in Jingyan area, southwestern Sichuan Basin"

Fig. 6

Comparison of synthetic record calibration results from amplitude-preserved denoising, and resolution improvement of the fourth member of Triassic Jialingjiang Formation in Jingyan area, southwestern Sichuan Basin"

Fig. 7

High resolution inversion results of the fourth member of Triassic Jialingjiang Formation in Jingyan area, southwestern Sichuan Basin"

Fig. 8

Distribution prediction of dolomite and gypsum rocks in the fourth member of Triassic Jialingjiang Formation in Jingyan area, southwestern Sichuan Basin"

Fig. 9

Fault evolution and hydrocarbon accumulation configuration relationship of Triassic Jialingjiang Formation in Jingyan area, southwestern Sichuan Basin"

Fig. 10

Distribution of fault-fracture and favorable exploration target zones in the fourth member of Triassic Jialingjiang Formation in Jingyan area, southwestern Sichuan Basin"

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