据OE网站5月17日报道，壳牌公司表示，该公司将在深海勘探和生产中使用大数据分析公司Spark Cognition的人工智能技术，以提高海上石油产量。

Spark Cognition的人工智能算法将处理和分析大量地震数据，以寻找美国墨西哥湾最大的石油生产商壳牌的新油藏。

壳牌负责创新和绩效的副总裁Gabriel Guerra在一份声明中表示，“我们致力于寻找新的创新方法，重塑我们的勘探工作方式”。

目标是提高运营效率和速度，提高产量和勘探成功率。新工艺可以将勘探时间从九个月缩短到九天以内。

总部位于得克萨斯州奥斯汀的Spark Cognition首席科学官Bruce Porter表示，用于地震成像的自动生成式人工智能可以积极地介入勘探过程，并具有广泛而深远的影响。

两家公司表示，这项技术将使用比平时更少的地震数据扫描生成地下图像，有助于保护深海环境及安全运营，地震技术发送声波来探测地下区域。更少的地震勘测加快了勘探工作流程，并将节省高性能计算的成本。

郝芬 译自 OE

原文如下：

Shell to Use New AI Technology in Deepwater Oil Exploration

Shell Plc will use AI-based technology from big-data analytics firm SparkCognition in its deep sea exploration and production to boost offshore oil output, the companies said on Wednesday.

Spark Cognition's AI algorithms will process and analyze large amounts of seismic data in the hunt for new oil reservoirs by Shell, the largest oil producer in the U.S. Gulf of Mexico.

"We are committed to finding new and innovative ways to reinvent our exploration ways of working," Gabriel Guerra, Shell's vice president of innovation and performance, said in a statement.

The goal is to improve operational efficiency and speed, and increase production and success in exploration. The new process can shorten explorations to less than nine days from nine months, the companies said.

"Generative AI for seismic imaging can positively disrupt the exploration process and has broad and far-reaching implications," said Bruce Porter, chief science officer for Austin, Texas-based Spark Cognition.

The technology would generate subsurface images using fewer seismic data scans than usual, helping with deep sea preservation, the companies said. Seismic technology sends sound waves to explore subsurface areas. Fewer seismic surveys accelerate exploration workflow and would save costs in high-performance computing, they added.