V.I. Il'ichev Pacific Oceanological Institute, Far East Branch, Russian Academy of Sciences, Vladivostok, 690041, Russia.
JASCO Applied Sciences Ltd, Dartmouth, NS, B2Y 4S3, Canada.
Environ Monit Assess. 2022 Oct 18;194(Suppl 1):745. doi: 10.1007/s10661-022-10019-6.
Exxon Neftegas Ltd. (ENL) carried out three 4D seismic surveys during the summer of 2015. Seismic operations in two of these fields (Odoptu and Chayvo) ensonified the nearshore feeding area of Korean-Okhotsk (western) gray whales (Eschrichtius robustus), potentially disturbing feeding activities. Following model-based optimization of the source design to minimize its lateral acoustic footprint, pre-season modeling was used to compute the acoustic exposure along each survey line. Real-time acoustic data facilitated implementation of mitigation measures aimed to minimize disturbance of whales. Acoustic data originated from underwater recorders deployed on the seafloor. Two complementary approaches were used to transmit recorded sound data to a computer housed at the Central Post (CP), where decisions regarding mitigation shut downs were made. In the first approach, a limited bandwidth (2-2000 Hz) sampling of the data was transmitted via cable to a surface buoy, which relayed these data to a shore station up to 15 km away via digital VHF telemetry. At the shore station, acoustic impulses from the seismic surveys were processed to compute impulse characteristics in the form of estimates of sound exposure level and peak sound pressure level, as well as one-minute-average 1/3-octave power spectral density coefficients, which were then transmitted to the CP via the internet. In the second, the pulse characteristics were computed through algorithms running on an onboard processor in each recorder's surface buoy and sent directly to the CP computer via an Iridium satellite uplink. Both methods of data transfer proved viable, but Iridium transmission achieved the goal without the need for any shore based relay stations and is therefore more operationally efficient than VHF transmission. At the CP, analysts used the real-time acoustic data to calibrate and adjust the output of pre-season acoustical model runs. The acoustic footprint for the active seismic source, advancing synchronously with the motion of the seismic vessel and changing as the sound propagation environment changed, was computed from the calibrated and adjusted model output and integrated through the software Pythagoras with locations of gray whales provided by shore-based observers. This enabled analysts to require air gun array shutdowns before whales were exposed to mean square sound pressure levels greater than the behavioral response threshold of 163 dB re 1 μPa. The method described here provides a realistic means of mitigating the possible effects of air guns at a behavioral response level, whereas most seismic surveys rely on pre-established mitigation radii to manage the risk of injury to a whale.
埃克森美孚石油公司(Exxon Neftegas Ltd.,ENL)在 2015 年夏季进行了三次 4D 地震勘测。其中两个油田(Odoptu 和 Chayvo)的地震作业激发了朝鲜-鄂霍次克(西部)灰鲸(Eschrichtius robustus)的近岸觅食区,可能干扰了其觅食活动。在对声源设计进行基于模型的优化以最小化其侧向声足迹之后,在赛季前建模中计算了每条勘测线的声暴露。实时声学数据有助于实施旨在最大程度减少鲸鱼干扰的缓解措施。声学数据源自海底记录器。使用两种互补的方法将记录的声音数据传输到中央站(Central Post,CP)的计算机中,以便在那里做出缓解关闭的决策。在第一种方法中,通过电缆将数据的有限带宽(2-2000 Hz)采样传输到海面浮标,该浮标通过数字甚高频(VHF)遥测将这些数据中继到距离海岸 15 公里的岸上站。在岸上站,从地震勘测中处理声学脉冲以计算脉冲特征,形式为声暴露级和峰值声压级的估计值,以及一分钟平均 1/3 倍频程功率谱密度系数,然后通过互联网将这些值传输到 CP。在第二种方法中,通过每个记录器的海面浮标上的处理器中的算法计算脉冲特征,并直接通过铱星卫星上行链路发送到 CP 计算机。这两种数据传输方法都被证明是可行的,但铱星传输无需任何基于岸站的中继站即可实现目标,因此比甚高频传输更具操作性。在 CP,分析人员使用实时声学数据来校准和调整赛季前声学模型运行的输出。根据校准和调整后的模型输出,通过软件 Pythagoras 计算主动震源的声学足迹,该足迹与地震船的运动同步推进,并随着声音传播环境的变化而变化,并与岸上观察员提供的灰鲸位置进行集成。这使分析人员能够在鲸鱼暴露于均方声压级大于 163 dB re 1 μPa 的行为反应阈值之前,要求关闭气枪阵列。这里描述的方法提供了一种在行为反应水平上减轻气枪可能影响的现实手段,而大多数地震勘测则依赖于预先确定的缓解半径来管理伤害鲸鱼的风险。