海域天然气水合物三维地震处理关键技术应用

2021年 41卷 第3期
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The Key Techniques of 3D Seismic Data Processing for Gas Hydrate
杨鹏程 李斌 邵文潮 顾元 黄福强 王文军
YANG Pengcheng LI Bin SHAO Wenchao GU Yuan HUANG Fuqiang WANG Wenjun
中国石油化工股份有限公司上海海洋油气分公司,上海 200120 中石化海洋石油工程有限公司上海物探分公司,上海 201208 同济大学海洋与地球科学学院,上海 200092 中国石油化工股份有限公司石油物探技术研究院,南京 211103 广州海洋地质调查局,广州 510075
SINOPEC Shanghai Offshore Oil & Gas Company, Shanghai 200120, China Shanghai Geophysical Branch, SINOPEC Offshore Oilfield Services Corporation Ltd., Shanghai 201208, China College of Marine and Earth Science, Tongji University, Shanghai 200092, China SINOPEC Geophysical Research Institute, Nanjing 211103, China Guangzhou Marine Geological Survey, Guangzhou 510075, China
天然气水合物赋存于海底浅部地层,具有埋深浅、横向变化快等特点,另外在海底浅部地层中还存在大量游离气。为了研究天然气水合物矿体分布范围、厚度情况,在南海首次采用三源十二缆地震采集技术获取了高密度三维地震数据。为了突出水合物反射特征,在三维高分辨率数据处理中,采用五维插值技术消除采集脚印,采用深度域速度模型层析成像多轮迭代技术、Q层析建模技术取得高精度速度模型和Q模型等技术。最终的Q-PSDM成果剖面提高了水合物矿体及下部地层的成像精度,消除了气云区导致的成像假象,为水合物矿体解释奠定基础。
Gas hydrate occurs in strata under the seabed, with the characteristics of shallow buried depth and rapid lateral change. In addition, there is lots of free gas in the shallow seabed. In order to study the distribution and thickness of gas hydrates, 3D seismic acquisition technology with three sources and twelve cables was firstly used to obtain high-density 3D seismic data in the South China Sea. In order to highlight the reflection characteristics of hydrates, five-dimensional interpolation techniques are used to eliminate the acquisition footprints in the three-dimensional high-resolution data processing. And the depth-domain velocity model tomography multi-round iterative technology and Q tomography modeling technology are used to obtain high accuracy velocity model and Q model. The final Q-PSDM results profile improves the imaging accuracy of the hydrate orebody and the underlying strata, eliminates the imaging artifacts caused by gas cloud area, and lays the foundation for the interpretation of the hydrate orebody.
天然气水合物; 采集脚印消除; 深度偏移; 速度建模; Q层析; Q深度偏移;
Gas Hydrate; 3D seismic data processing; removal of acquisition footprints; PSDM velocity model building; Q tomography; Q-PSDM;
本项目受中国地质调查局项目DD-20190230资助
https://doi.org/10.3969/j.issn.1008-2336.2021.03.001