Identification and prediction of gravity flow channel interlayers under deep water and few wells conditions

LI Da; TAO Qianqian; LIU Na; YE Rong; LI Hua

doi:10.19509/j.cnki.dzkq.tb20240455

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LI Da，TAO Qianqian，LIU Na，et al. Identification and prediction of gravity flow channel interlayers under deep water and few wells conditions[J]. Bulletin of Geological Science and Technology，2026，45（2）：1-14 doi: 10.19509/j.cnki.dzkq.tb20240455

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Identification and prediction of gravity flow channel interlayers under deep water and few wells conditions

doi: 10.19509/j.cnki.dzkq.tb20240455

LI Da^1
,,
TAO Qianqian¹,
LIU Na²,
YE Rong²,
LI Hua^{2
,
,}

1 .
Hainan Branch of CNOOC (China) Ltd., Haikou 570100
2 .
School of Geosciences, Yangtze University, Wuhan 430100, China

More Information

Author Bio:
E-mail：lida1@cnooc.com.cn
Corresponding author: E-mail：501026@yangtzeu.edu.cn
Received Date: 15 Aug 2024
Accepted Date: 12 Jan 2025
Rev Recd Date: 30 Dec 2024

Available Online: 08 Jan 2026

Abstract

Abstract

Objective
The Lingshui X gas field in the Qiongdongnan Basin has proven natural gas geological reserves of 12.809 billion cubic meters. However, exploration and development efforts have been hindered by challenges such as the large water depths of the offshore basin, limited well data, low resolution of seismic data, and unclear identification of interbedded layers, which are critical for optimizing oil and gas exploration strategies. This study aims to address these challenges by establishing a methodology for identifying interbedded layers and optimizing the oil and gas development plan for the Lingshui X gas field.
Methods
This research utilizes core samples, well logging, and seismic data, which are used to create a set of criteria for identifying interbedded layers in the Huangliu Formation’s gravity flow channels. Additionally, frequency extension and inversion techniques are employed to enhance the resolution of seismic data and to reveal the distribution patterns of interbedded layers with different origins. These results contribute to the optimization of exploration and development strategies.
Results
The results indicate that: (1) The overall sedimentary system in the study area is a canyon-channel system, characterized by the development of five distinct microfacies: gravity flow channels, channel-levee complexes, sheet sands, slump deposits, and deep-sea mud. (2) The Huangliu Formation contains mudstone interlayers, mudstone interbeds, and calcareous interbeds. The mudstone interlayers exhibit high natural gamma ray, high density, high velocity, and high impedance characteristics, whereas the calcareous interbeds are distinguished by moderate natural gamma values, low density, and high resistivity. (3) Mudstone interlayers predominantly occur in the central and marginal areas of the canyon, forming large-scale stable distributions, while mudstone interbeds are confined to smaller, localized areas on the flanks of the canyon channels. Calcareous interbeds have limited distribution areas and are less stable in nature. (4) The development of these interbedded layers is influenced by the sedimentary microfacies. When the gravity flow energy is strong, interbedded layers are more commonly found in the levee mud deposits along the channel sides. Conversely, when the energy is weaker, interbeds are more likely to occur in deep-water in-situ deposits. (5) Based on these observations, an optimized deployment plan for a newly developed well, A-1, was proposed, along with its well trajectory. This plan incorporates a semi-quantitative prediction method for identifying interbedded layers, which will improve the precision of future exploration and development.
Conclusion
In conclusion, the results of this study provide significant theoretical and technical support for the identification, prediction, and subsequent oil and gas development in the Lingshui X gas field and similar deep-water gas fields. The methodology established in this research is expected to contribute to enhancing the exploration efficiency and optimizing development strategies for deep-water hydrocarbon reservoirs.
- Qiongdongnan Basin,
- Huangliu Formation,
- Gravity flow channel,
- Sedimentary microfacies,
- Identification of interlayer

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Identification and prediction of gravity flow channel interlayers under deep water and few wells conditions

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Identification and prediction of gravity flow channel interlayers under deep water and few wells conditions

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