Description

For this project, we're looking for a geoscientist or petrophysicist with over 5 years of experience in borehole image log interpretation, with a strong preference for expertise in sedimentary geology and coal. The XiR will be familiar with fluvial-lacustrine-coal depositional systems and the identification of structural and sedimentary features on resistivity and acoustic image tools.

This project's objectives will be to:

• Identify, interpret, and quantify coal cleat properties (density, length, width, orientation, and network characterization) and natural fractures from borehole image logs (FMI and CMI).

• Deliver structured, exportable results at the seam level, including breakouts, drilling-induced fractures, and cleat metrics suitable for cross-well benchmarking and correlation with production and permeability datasets.

Duration

8 hours of work, to be completed within a single week as the XiR sees fit.

Compensation

Up to US $1,030

What You’ll Bring:

• 5+ years of hands-on experience interpreting borehole image logs (FMI, CMI, or equivalent resistivity/acoustic image tools)

• Expert knowledge of sedimentary geology, with specific familiarity with coal and fluvial-lacustrine-coal depositional systems

• Skilled in feature identification on image logs, including bedding, fractures, breakouts, facies boundaries, coal seam contacts, cleat types, cleat morphology, and structural dip picking

• Experienced in geological labeling and annotation for machine learning. Able to apply structured feature taxonomies and quality criteria that translate interpretation into a clean, model-ready dataset

• Familiar with integrating conventional logs (GR, density, resistivity) with image log interpretation for consistency checks (highly desirable)

• Understanding of how ground-truth datasets feed into AI models (highly desirable)

• Academic or industry publications on image log interpretation (nice to have)