Well Log Porosity Sonic Wyllie Calculator

Apply the Wyllie time-average equation to a compressional sonic log, with optional shale correction, using slownesses in microseconds per metre.

Description

Apply the Wyllie time-average equation to a compressional sonic log, with optional shale correction, using slownesses in microseconds per metre.

Well Log Porosity Sonic Wyllie Calculator: Apply the Wyllie time-average equation to a compressional sonic log, with optional shale correction, using slownesses in microseconds per metre.

When to use Well Log Porosity Sonic Wyllie

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.

Delta t log
Compressional sonic slowness from the log in microseconds per metre.
Delta t matrix
Matrix slowness in microseconds per metre.
Delta t fluid
Pore-fluid slowness in microseconds per metre.
V shale
Shale volume fraction from 0 to 1.
Delta t shale
Shale slowness in microseconds per metre.

How Well Log Porosity Sonic Wyllie works

Apply the Wyllie time-average equation to a compressional sonic log, with optional shale correction, using slownesses in microseconds per metre. 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

Porosity
Wyllie time-average porosity as a volume fraction.

Limitations and assumptions

  • Log-derived porosity, shale volume, permeability, and saturation depend on tool type, borehole conditions, invasion, lithology, matrix and fluid properties, environmental corrections, calibration, and depth matching. Core and pressure data should constrain interpretation.
  • 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

  1. Well logging — Wikipedia contributors

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