地震解释平台 AttributeStudio VVA AI 1.11(2022)破解版

Challenge:

Determine the highest value targets in shale and tight-sand plays.

Solution:

Innovative workflow to correlate seismic attributes with production in horizontal wells and perform prediction using advanced data analytics.

Shale and Tight-Sand

Different Scales

Challenge:

Overcoming the different scales of well log and seismic data to produce a more accurate prediction.


Solution:

Upscaling and prediction workflows that utilize reservoir properties derived from seismic attributes.

Quantitative Interpretation
Different Scales

Petrophysical

Challenge:

Utilize seismic data to estimate petrophysical properties between wells.


Solution:

Upscaling and prediction of well logs from seismic attributes.

Thin Bed Reservoirs

Challenge:

Utilize seismic data to image thin bed reservoirs that are below the resolution of standard techniques.


Solution:

Spectral decomposition and correlation analysis from tuning cubes.

Small-Scale Faults

Challenge:

Detection of small-scale faults and natural fracture zones from seismic data.


Solution:

Structure attributes and 3D image analysis and filtering.

Small-Scale Faults

Seismic Attributes

Challenge:

Generate high quality seismic attributes from band limited and noisy data.


Solution:

Data-conditioning and image filtering to enhance seismic attributes.

Seismic Data Volumes

Challenge:

Reduce the time to perform attribute analysis on very large seismic data volumes.


Solution:

Interactive attribute generation, analysis, and visualization in stratagrid.

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