The current era of big data technology development hot, at the same time, there are a lot of geophysical exploration technology, each has shortcomings, but also has their own advantages. Nowadays, all kinds of geophysical exploration of advanced…
The current era of big data technology development hot, at the same time, there are a lot of geophysical exploration technology, each has shortcomings, but also has their own advantages. Nowadays, all kinds of geophysical exploration of advanced…
The current era of big data technology development hot, at the same time, there are a lot of geophysical exploration technology, each has shortcomings, but also has their own advantages. Nowadays, all kinds of geophysical exploration of advanced…
To carry out risk exploration in the new area, big data analysis technology is applied in this study to help quickly detect the abnormal information in the seismic data volume, accurately identify the favorable reservoir distribution of the target…
To carry out risk exploration in the new area, big data analysis technology is applied in this study to help quickly detect the abnormal information in the seismic data volume, accurately identify the favorable reservoir distribution of the target…
Seismic data is one of earliest data acquired in a prospect evaluation and the data are utilized throughout the exploration and production stages of a prospect. With recent advances in the handling of big data, it is essential to re-evaluate the best…
Regular sampled seismic data is important for seismic data processing. However, seismic data is often missing due to natural or economic reasons. Especially, when encountering big obstacles, the seismic data will be missing in big gaps, which is more…
Present day innovations in seismic acquisition tools and techniques have enabled the acquisition of detailed seismic datasets, which in many cases are extremely large (on the order of terabytes to petabytes). However, data analysis tools for…
Early leak detection of liquid and gas of both buried and unburied pipelines remain a critical task for economical and safety reasons. Several techniques were recently suggested and tested in real-life conditions and the corresponding results are…
To carry out risk exploration in the new area, big data analysis technology is applied in this study to help quickly detect the abnormal information in the seismic data volume, accurately identify the favorable reservoir distribution of the target…
Seismic data is one of earliest data acquired in a prospect evaluation and the data are utilized throughout the exploration and production stages of a prospect. With recent advances in the handling of big data, it is essential to re-evaluate the best…
Regular sampled seismic data is important for seismic data processing. However, seismic data is often missing due to natural or economic reasons. Especially, when encountering big obstacles, the seismic data will be missing in big gaps, which is more…
Present day innovations in seismic acquisition tools and techniques have enabled the acquisition of detailed seismic datasets, which in many cases are extremely large (on the order of terabytes to petabytes). However, data analysis tools for…
Early leak detection of liquid and gas of both buried and unburied pipelines remain a critical task for economical and safety reasons. Several techniques were recently suggested and tested in real-life conditions and the corresponding results are…
The current era of big data technology development hot, at the same time, there are a lot of geophysical exploration technology, each has shortcomings, but also has their own advantages. Nowadays, all kinds of geophysical exploration of advanced…
Seismic data is one of earliest data acquired in a prospect evaluation and the data are utilized throughout the exploration and production stages of a prospect. With recent advances in the handling of big data, it is essential to re-evaluate the best…
To carry out risk exploration in the new area, big data analysis technology is applied in this study to help quickly detect the abnormal information in the seismic data volume, accurately identify the favorable reservoir distribution of the target…
The current era of big data technology development hot, at the same time, there are a lot of geophysical exploration technology, each has shortcomings, but also has their own advantages. Nowadays, all kinds of geophysical exploration of advanced…
This paper describes the data-driven machine learning modeling of the spatial distribution of geophysical parameters in petroleum and gas reservoirs. Multiple kernel learning methods are used to integrate geological information with multi-scale…