Maui Field

FROM SEISMIC TO SIMULATION-READY MODELS

CASE STUDY: MAUI FIELD

Lucas Tortarolo, Geoscientist, Eliis & Gavin Elliot, Exploration Geologist, Genel Energy

An innovative 3D stratigraphic framework derived from seamlessly integrating seismic stratigraphy workflows and vector space gridding in PaleoScan™ offer new perspectives on Maui Field development.

CASE STUDY AT A GLANCE

LOCATION
Taranaki Basin, New Zealand

SURFACE AREA
680 KM2

AGE OF SEDIMENT
Late Cretaceous to Miocene

GEOLOGICAL CONTEXT
Low-relief fault-bounded anticlinal structure, multi-directional rifting​

DEPOSITIONAL ENVIRONMENT
Stacked fluvial to deep marine channel systems

MAIN CHALLENGES
Multi-story, multi-source and multi-directional sedimentary supply & flow

LOCATION

The Taranaki Basin is located off the west coast of New Zealand’s North Island, extending both onshore and offshore.

AUTHOR

Nicolas Daynac

Advisor - Principal Geoscientist

SYNOPSIS

The Maui Field lies within the Taranaki Basin, New Zealand’s only known commercially producing hydrocarbon province. Its geological history, marked by complex turbidite deposition, provides a compelling framework for stratigraphic modeling and reservoir characterization.

This case study demonstrates how PaleoScan™ technology was applied to build simulation-ready reservoir models from seismic data in the Maui Field. A 3D Relative Geological Time (RGT) model allowed for precise delineation of stratigraphic surfaces and bedset terminations, enabling enhanced interpretation of channelized turbidite systems. Spectral decomposition and RGB-blend visualizations highlighted geobodies, while multi-frequency classification techniques aided their extraction. The RGT grid was populated with rock properties at seismic resolution using well log data, supporting detailed property modeling for simulation. The result is a high-resolution stratigraphic framework that captures heterogeneity and supports development planning.

KEY TOPICS

  • 3D RGT stratigraphic modeling and Wheeler transform
  • Turbidite system and geobody identification using spectral decomposition
  • Frequency classification and RGB blending
  • Seismic-to-simulation rock property modeling
  • Multi-story reservoir architecture analysis

Well log property propagation 

Spectral decomposition and geobody identification

Stratigraphic bedset gridding

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