Abstract Spectral decomposition, aiding for direct hydrocarbon detection, generally employs time–frequency analysis methods to characterize the time‐varying frequency contents of the subsurface layers. However, ongoing efforts to improve time–frequency analysis resolution still face limitations, leading to inaccurate spectral decomposition. In this study, a quantum mechanics–based highlight volumes extraction method, which includes the quantum peak amplitude above average volume and the quantum peak frequency volume, is proposed as a novel spectral decomposition method for hydrocarbon detection. Seismic data are transformed into the time–frequency domain using continuous wavelet transform, and then each sample's amplitude spectrum of each trace is projected on a specific basis constructed by the wave functions using the Schröedinger equation. This yields the corresponding projection coefficient for each sample's amplitude spectrum. For each projection coefficient, the quantum peak amplitude above average volume is calculated by subtracting the average amplitude from the maximum amplitude. The quantum peak frequency volume consists of the local frequency points where the quantum peak amplitude is the maximum. Our approach stands out for its ability to indicate strong amplitude anomalies typically associated with the hydrocarbons and precise gas reservoir locations and has also been validated to handle seismic data with low signal‐to‐noise ratio well. Model tests and field data applications show the effectiveness and the advantages of the proposed quantum mechanics–based highlight volumes extraction method. The comparison with the conventional methods illustrates that the proposed quantum mechanics–based highlight volumes extraction method has higher temporal and spatial resolution and is more accurate in detecting the hydrocarbons in the gas reservoir. However, it may require longer computational times compared with the conventional methods. This work aims to complement the current spectral decomposition techniques with a new quantum mechanics–based highlight volumes extraction method.

Ya‐juan Xue

Hong Zhang

Jin‐Qiang Zhang

Xing‐jian Wang

Jun‐xing Cao

Zhe‐ge Liu

Wu Wen

Jia Yang

Dong‐Fang Li

Geophysical Prospecting

《地球物理勘探》出版了关于地球物理科学的最佳初级研究，因为它适用于地球资源的勘探、评估和开采。该杂志大量借鉴了石油和矿产勘探行业研究人员的贡献，具有非常实用的倾向。尽管该杂志为这些领域的工作人员之间的交流提供了一个有价值的论坛，但它也非常适合学术地球物理学的研究人员。

The journal 'Geophysical Prospecting' publishes high-quality research in the field of geophysical sciences, particularly relevant to the exploration, assessment, and extraction of earth resources. It draws extensively on contributions from researchers in the oil and mineral exploration industries, emphasizing practical applications. While it serves as a valuable forum for communication among professionals in these fields, it is also well-suited for researchers in academic geophysics.

《Geophysical Prospecting》杂志发表关于地球物理科学的高质量研究，特别适用于地球资源的勘探、评估和开采。该杂志广泛吸纳了石油和矿产勘探领域研究人员的贡献，具有很强的实用性。虽然它为这些领域的专业人士提供了一个宝贵的交流平台，但同样也适合学术地球物理学的研究者。

Category	Quartile
地球科学	3
地球科学, 地球化学与地球物理	3

Hydrocarbon detection via quantum mechanics–based highlight volumes extraction

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Journal Info

Category	Quartile
GEOCHEMISTRY & GEOPHYSICS	3