Pore Pressure Prediction Eaton Sonic Calculator
Predict formation pore pressure from compressional sonic travel times with the Eaton sonic method.
Description
Predict formation pore pressure from compressional sonic travel times with the Eaton sonic method.
Pore Pressure Prediction Eaton Sonic Calculator: Predict formation pore pressure from compressional sonic travel times with the Eaton sonic method.
When to use Pore Pressure Prediction Eaton Sonic
Use this geological calculation for a transparent first-pass interpretation of measured rock, soil, fluid, well, stratigraphic, isotopic, geophysical, or seismic data under an explicitly selected model.
- Overburden stress
- Vertical stress above the depth of interest in megapascals.
- Normal pore pressure
- Normal (hydrostatic) pore pressure in megapascals.
- Normal sonic
- Sonic travel time on the normal compaction trend in microseconds per metre.
- Observed sonic
- Observed shale sonic travel time in microseconds per metre.
- Exponent
- Eaton sonic exponent N.
How Pore Pressure Prediction Eaton Sonic works
Predict formation pore pressure from compressional sonic travel times with the Eaton sonic method. The tool evaluates the supplied inputs together and returns the named outputs below; it does not infer omitted operating conditions or change the units shown.1
- Pore pressure
- Predicted pore pressure in megapascals.
Limitations and assumptions
- Petroleum correlations are fluid-, pressure-, temperature-, and region-dependent. PVT sampling, phase behavior, relative permeability, capillary pressure, heterogeneity, aquifer support, well constraints, history match, and units affect forecasts and reserves.
- Use finite inputs in the displayed units and preserve more precision than the final presentation requires. Independently verify safety-critical, financial, compliance, or production decisions.
Alternative or Complementary approaches
Compare independent measurements and models, retain units and analytical metadata, propagate uncertainty, and validate interpretations against logs, cores, maps, laboratory data, or field observations.
References
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Reservoir engineering — Wikipedia contributors
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