
The development of high-accuracy seismic prediction technology, capable of mitigating the influence of coal events and accurately inverting key reservoir parameters, is critical for enhancing the exploration and development of tight gas reservoirs in coal-bearing strata. Block L, located on the eastern edge of the Ordos Basin, serves as a case study. This area, where tight sandstone gas deposits are widespread in the Upper Paleozoic, is characterized by coal seams that complicate seismic interpretation. The available drilling data show that the tight gas layers in the Taiyuan and Benxi Formations are well-developed and serve as the primary hydrocarbon source rocks. However, the low-density, low-velocity coal seams create strong wave impedance contrasts, which significantly affect the neighboring tight sandstone gas layers and present substantial challenges for seismic prediction. To address this issue, we employ wavelet decomposition and reconstruction techniques to eliminate coal seam interference and high-resolution waveform simulation technology for seismic prediction of thin reservoirs. This approach circumvents the limitations of using a single impedance parameter to differentiate between sand–mudstone and limestone–coal interfaces. Step-by-step inversion and gradual stripping techniques are applied to remove the influences of coal seam and limestone, thereby facilitating accurate identification of sandstone distribution. Drilling data confirm the reliability and effectiveness of this reservoir prediction method for coal-bearing strata. Based on successful applications in the eastern Ordos Basin, this workflow demonstrates broad applicability and offers significant guidance for exploring similar reservoirs, given the parallel reservoir characteristics and the foundational technological approach.
tight gas reservoir, coal seam, seismic prediction, Science, Q, wavelet decomposition and reconstruction, waveform simulation technology
tight gas reservoir, coal seam, seismic prediction, Science, Q, wavelet decomposition and reconstruction, waveform simulation technology
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
