<p>A deep clastic rock reservoir, located at a depth exceeding 4500 meters, has an effective thickness of approximately 5-8 meters and a structural amplitude less than 10 meters. After conventional processing, the horizontal distribution of event lines in the final imaging does not accurately reflect the true distribution of sand bodies, especially in low-amplitude structural zones. Inaccurate imaging of sand bodies due to inaccurate imaging of low-amplitude structures often leads to drilling failures. To address the challenge of accurate imaging of deep low-amplitude structures, the first step is to solve the static correction problem, followed by consideration of imaging velocity issues. The inaccurate imaging of deep thin sand bodies caused by static correction is an urgent problem to be solved. Therefore, this project proposes a method that combines 3D-tomographic static correction with 3D-refraction residual static correction and target layer time window inversion for maximum energy surface consistency residual static correction. This method effectively solves the static correction problem for imaging deep low-amplitude thin sand bodies in the western region. The theoretical basis, processing procedures, combination schemes of key parameters, and their interactions for these three methods are elaborated in detail. The application effect of this static correction technical scheme in the exploration of low-amplitude structures in the western region is demonstrated. Drilling verification shows that the proposed method is feasible. According to the obtained conclusions, the error between the calculated well depth and the actual drilling point is small, greatly improving the success rate of drillingt.</p>

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Static Correction Processing Technology and Its Application to Improve the Imaging Accuracy of Low-Amplitude Structures

  • Li Sun,
  • Youjuan He,
  • Weiming Wang,
  • Jianli Wang

摘要

A deep clastic rock reservoir, located at a depth exceeding 4500 meters, has an effective thickness of approximately 5-8 meters and a structural amplitude less than 10 meters. After conventional processing, the horizontal distribution of event lines in the final imaging does not accurately reflect the true distribution of sand bodies, especially in low-amplitude structural zones. Inaccurate imaging of sand bodies due to inaccurate imaging of low-amplitude structures often leads to drilling failures. To address the challenge of accurate imaging of deep low-amplitude structures, the first step is to solve the static correction problem, followed by consideration of imaging velocity issues. The inaccurate imaging of deep thin sand bodies caused by static correction is an urgent problem to be solved. Therefore, this project proposes a method that combines 3D-tomographic static correction with 3D-refraction residual static correction and target layer time window inversion for maximum energy surface consistency residual static correction. This method effectively solves the static correction problem for imaging deep low-amplitude thin sand bodies in the western region. The theoretical basis, processing procedures, combination schemes of key parameters, and their interactions for these three methods are elaborated in detail. The application effect of this static correction technical scheme in the exploration of low-amplitude structures in the western region is demonstrated. Drilling verification shows that the proposed method is feasible. According to the obtained conclusions, the error between the calculated well depth and the actual drilling point is small, greatly improving the success rate of drillingt.