CGG、Ardiseis 完成有史以来最高密度的地震勘测

2018 年 2 月 8 日

巴黎——其技术合作伙伴 CGG 和中东地震采集专家阿拉伯地球物理和测量公司 (ARGAS) 的子公司 Ardiseis 宣布成功完成世界上有史以来密度最高的宽带地震勘测境内或境外收购。代表阿帕奇公司 (Apache) 进行的西卡拉布沙勘测记录的超高密度数据预示着地震质量将发生重大变化,可以在埃及西部沙漠经济地获取地震数据,并且在地震勘探方面将实现巨大飞跃。中东和北非地区的成像。

Apache 为 Ardise 提出了一项雄心勃勃的挑战,即从 2,000 公里2 的超密集勘测中提供可用于储层表征的宽带地震数据,每公里2代表 7200 万条道,比迄今为止在全球范围内获得的任何勘测数据密度高两到三倍。为了实现以与传统土地征用相当的速度和成本生成数据所需的超高生产率采集,Ardiseis 首次在埃及部署了 CGG 专有的无约束混合采集技术。该技术最大限度地优化了现场操作,大量振动器同时且彼此独立地不间断运行。CGG 通过在其庞大的计算资源上运行其专有的复杂去混合算法,成功地对数据进行了去混合。此外,Ardiseis 使用 CGG 的宽带技术套件 CleanSweep 和 EmphaSeis 来获取所需的低频丰富宽带数据(从 1.5Hz 开始),该数据不受迄今为止阻碍行业采用的谐波噪声污染的影响真正的宽带高生产率可控震源采集。

原文链接/worldoil

CGG, Ardiseis complete highest-density seismic survey ever acquired

February 08, 2018

PARIS -- CGG, its technology partner, and Ardiseis, subsidiary of the Arabian Geophysical and Surveying Company (ARGAS), the Middle East’s seismic acquisition specialist, have announced the successful completion of the world’s highest-density broadband seismic survey ever acquired onshore or offshore. The ultra-high density of the data recorded on the West-Kalabsha survey on behalf of Apache Corp. (Apache) heralds a step-change in the quality of seismic that can be economically acquired in Egypt’s Western Desert and a quantum leap in imaging for the Middle East and North Africa region.

Apache set Ardiseis the ambitious challenge of delivering reservoir characterization-ready broadband seismic data from a 2,000-km2, ultra-dense survey, representing 72 million traces per km2, two-to-three times denser than any survey acquired to date worldwide. To achieve the ultra-high productivity acquisition required to produce the data at a comparable pace and cost to conventional land acquisition, Ardiseis deployed CGG’s proprietary Unconstrained Blended Acquisition technology for the first time in Egypt. This technique optimizes field operations to the extreme, with a large fleet of vibrators operating simultaneously and independently from each other non-stop. CGG successfully deblended the data by running its proprietary sophisticated deblending algorithm on its massive computing resources. In addition, Ardiseis used CGG’s broadband suite of technologies, CleanSweep and EmphaSeis, to acquire the required low-frequency-rich broadband data (starting from 1.5Hz), which is free of the harmonic noise contamination that has so far hindered industry adoption of true broadband high-productivity Vibroseis acquisition.