Input data QAQC

 

A workspace dedicated to the QC of input interpretation data, Ava Structure’s QC Area contains fully integrated fault, horizon, and fault throw data operations, with supporting guidance and documentation based on industry principles and structural geology rules.

 

Horizons

Horizon Operations

  • Raw interpretation check
  • Horizon interpretation busts
  • Tramline identification
  • Horizon-fault intersection QC
  • Data stability QC

Faults

Fault Operations

  • Anomalous dip
  • Trend outlier identification
  • Fault stick spacing
  • 3D fault connectivity

Combined

Combined Tools

  • Throw profile QC
  • Regression analysis
  • Anomalous throw?
  • Enough data points?
  • Fault too short / long?
  • Intersecting fault?

Explore Fault Tip Extensions

 

Ava Structure’s unique throw extraction methodology generates throw profiles for each interpreted fault, used to estimate probabilistic fault tip extensions which can be interrogated using integrated fault map tracking, zooming and throw point data display.

 

Throw profile display and QC

EFS1

Fault displacement statistics

Fault detection algorithms

Understand Compartmentalisation Uncertainty

 

Numerous diagnostics are reported for each case including number of fault blocks, fault block area or area connected to a well, allowing uncertainty to be reliably quantified and understood.

 

UCU3

Visualise compartmentalisation

UCU1

Map sub-seismic scale fault geometry

UCU2

Quantify uncertainty and risk

Support Complex Structural Modelling

 

Modified interpretation case data compatible with structural modelling workflows can exported from Ava Structure, to facilitate the generation of alternative structural models in reservoir modelling workflows and allowing compartmentalisation uncertainty to be routinely integrated.

 

Petrel Plugin

 

Ava Structure is also available as a plugin to the Petrel platform. The plugin performs analyses and generates outputs which are designed to be compatible with structural framework modelling and gridding processes.

 

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