Mentoring Tailored to Individual Needs

Basic Well Data Interpretation

• Query for key well-log data

• Log scan for editing

• Import/mine/integrate public data (tops, geochem, production)

• Build effective log templates

• Determine key logs for correlation

• Generate interpretive logs (DeltaLogR, AI)

• Correlate key regional sequences, lithologies, and pay

• Create meaningful maps

• Integrate literature trends

• Quality control prior to generation of thickness and depth maps

• Methods to show areas of interpretation confidence 

• Reservoir quality maps with log attributes

• Presentation advice

Basic Seismic Interpretation

• Determine dataset-dependent interpretation workflow

• Scan seismic for key challenges

• Determine key interpretation volumes, polarity, simple filtering

• Generate valuable interpretation volumes

• Generate regionally consistent synthetic well ties

• Implement an interpretation strategy: faults, multiple horizons, maps, and quality control

• Pragmatic fault picking and fault surface map

• Identifying and correlating key regional horizons

• Quality control of horizon interpretation

• Integrating formation tops and horizon time-to-depth conversion

• Advice on making meaningful maps

• Methods to show areas of interpretation confidence 

• Advice for presentations  

Reservoir Quality Mapping

• Creating Net Pay maps

• Gross vs Net Reservoir

• Using Petrophysical inputs – averaging, net counting, parameter ranges, sensitivity to inputs

• Integrating Production data

Seismic Attribute Mapping

• Choice of key attributes

• Integrate attributes to well data

• Recognize and correlate to pay

• Seismic horizon amplitude mapping techniques

Integrate DHI, structural, and stratigraphic interpretations