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Bluware Deep Learning Technology Applied to Regions with Massive Evaporite Sequences

Updated: Mar 26

Brazil Santos Basin


Challenge:


Companies are required by the Brazilian national government to monitor oil field production for the entire life of the field. Large reserves of oil are found in carbonate reservoirs located below a massive sequence of evaporites that contain a diverse mineralogical composition, which makes illumination challenging and effects the frequency band of the seismic data.


To monitor changes in time in the reservoir, time-lapse 4D surveys are acquired. Nodes are the preferred methodology because the existing production infrastructure makes streamer acquisition challenging. Plus, it is crucial to be precise on the repeat locations. The combination of the node acquisition, which by nature is FAZ, with the repetition of time-lapse 4D surveys, produces very large data volumes. This leads to operational challenges, as data needs to be loaded, visualized, processed, and interpreted in a timely manner to avoid increased project costs. These volumes are multiplied through time as more data is acquired over a field’s 4D node surveys.



Current Traditional Workflow:


Interpretation begins on stacked data, so interpreters loose almost 90% of the crucial information present in pre-stacked data. Stacked data has subtle amplitude variations that can easily be missed. Additionally, variation of amplitude with offsets will not be detected. Before a geoscientist even starts their interpretation, the data already contains bias from the velocity model.


Stacked datasets are often created by external vendors with little input from the final user. Companies are charged for any additional partial stack, and those partial stacks are created on pre-set angles and offsets without a high level of quality control. Crucial time can be lost waiting for 3D partial stacks from a vendor. If a dataset is too large for the interpretation software, the user can decimate the data and/or subset the area in smaller sub-volumes.


Bluware DEEP LEARNING Workflow:


With the unique ability to work directly with unlimited pre-stacked data, Bluware enables the interpreter to interactively visualize and stack in real-time to create ideal angles of illumination of the subsurface. The user can stack the dataset interactively and create volumes at the click of a button. Multiple volumes can then be interpreted using the Bluware DEEP LEARNING interpretation tool.