News 2017

Seismic Reservoir Characterization courses in KL, Beijing and Nanjing – Sagar Ronghe

DUG Geoscience Manager, Sagar Ronghe, is presenting a series of Seismic Reservoir Characterization courses in conjunction with EAGE. They will be held in September 2017 in KL, and October 2017 in Beijing and Nanjing.

Well and seismic data can be integrated to predict lithology and fluid, quantify reservoir properties, identify leads and help risk prospects. This course provides an introduction to the concepts and application of quantitative seismic interpretation including statistical rock physics analysis and modelling.

This course discusses reservoir characterization as it applies to all stages of oil and gas field activity: from reconnaissance, through exploration and appraisal, to focused reservoir characterization during field development. As more data becomes available the options for QI increase. Workflows should be fit-for-purpose given project objectives and data availability. Reservoir characterization methodologies spanning qualitative attributes, inversion, probabilistic lithology and fluid predictions and the quantification of reservoir property distributions are presented. These include well log calibrated amplitude and AVA interpretations, stack rotations, and deterministic and stochastic inversion. The importance of petrophysics and rock physics calibration as a foundation for all of these methods is highlighted.

The course also discusses seismic velocity modelling: the smooth merging of multiple 2D and or 3D velocity fields into a consistent 3D volume; and the calibration of seismic velocities to well data for accurate time-to-depth conversion. Depth conversion of seismic data and derived properties are important for facilitating well planning and field development decisions as well as for quantitative result interpretations.

Registrations are now open for the following dates:

Kuala Lumpur, Malaysia September 27th. More information here.

Beijing, China  October 16-17. More information here.

Nanjing, China October 19-2o. More information here.

 

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