Petrophysicist

** Job Posting

Title:

** Petrophysicist**---
- **** Hiring Department:
** Bureau of Economic Geology**---
- **** Position Open To:
** All Applicants**---
- **** Weekly Scheduled

Hours:

** 40**---
- **** FLSA Status:
** Exempt**---
- **** Earliest

Start Date:

** Immediately**---
- **** Position Duration:
** Expected to Continue Until Feb 18, 2027**---
- ***
* Location:

** PICKLE RESEARCH CAMPUS**---
- **** Job Details:**## General Notes This position is located at the J.J. Pickle Research Campus in North Austin. This is a fixed-term assignment for one year after date of hire.## Purpose We are seeking a highly motivated candidate for a petrophysicist position within the Bureau of Economic Geology's State of Texas Advanced Resource Recovery (STARR) group. The purpose of this position is to develop an integrated, end-to-end subsurface characterization workflow that supports subsurface energy storage projects by transforming raw well-log data into 3-D geologic and facies models for site evaluation and design.

The role will lead the analysis, QA/QC, conditioning, and standardization of well logs using reproducible Python pipelines, then curate and organize the filtered datasets within a structured Petrel project. The position will build and validate machine-learning electrofacies classifications that will ultimately be used to generate 3-D facies models in Petrel. A core part of the work is applying geostatistical methods—variogram, kriging, and sequential gaussian simulation (SGS) modeling—to generate facies realizations that honor well control and geologic continuity while quantifying uncertainty.##

Responsibilities
* Conduct data analysis, including QA/QC and conditioning of raw well log data (LAS files) using reproducible Python workflows. Load conditioned logs and associated well data to Petrel.
* Develop, train, validate, and apply machine-learning electrofacies classification models (bagging, boosting, SVM, ANN) using well-log-derived features; evaluate performance with appropriate metrics; load resulting output facies curves into Petrel.
* Collaborate with other BEG personnel to use geostatistical analysis and modeling to generate and distribute 3-D facies and property models within Petrel.
* Integrate model results to inform subsurface energy storage assessments, including capacity assessment, and risk-focused subsurface studies.
* Communicate technical results and project outcomes through peer-reviewed journal manuscripts, conference abstracts/proceedings and presentations, and updates to partners/stakeholders in meetings.##

Required Qualifications Master's degree and at least 2 years of experience in Petroleum Engineering, Geosciences, or a related discipline. Must have a strong background in  petrophysics and well log interpretation, including log QA/QC and conditioning and normalization workflows. Candidate must be proficient in Python packages used for subsurface data analysis (pandas/numpy/scipy, matplotlib, plotly) and well-log analysis (lasio, welly) and have experience building reproducible workflows.

Must have proficiency building machine-learning models (bagging, boosting, support vector machines, artificial neural networks) for electrofacies classification using Python libraries such as scikit-learn, Tensor Flow/Keras, and PyTorch. Solid knowledge of geostatistical methods used in modeling and uncertainty quantification.
* Relevant education and experience may be substituted as appropriate.*##

Preferred Qualifications

PhD in Petroleum Engineering, Geosciences, or a related discipline, with specialization in petrophysics (log interpretation, rock properties, and reservoir characterization). Understanding of geologic controls on facies architecture  and how to translate concepts into modeling domains, trends, and constraints. Understanding of advanced geostatistical workflows, such as co-kriging / co-simulation and indicator kriging. Hand-on experience with Petrel, including well data management, templates, interpretation integration, static model building, and property modeling.

Familiarity with industry-standard petrophysical modeling packages, such as IP..## Salary Range $70,000 + depending on…