IT Advisor Petrophysical Data Management

Oxy • Houston, TX

2d

About The Position

This person will lead initiatives in petrophysical data management, integration, and digital transformation. This role is critical to advancing our initiatives to enable seamless integration, management, and utilization of petrophysical and other subsurface data types within the OSDU Platform.

Requirements

• 10+ years in petrophysical data management and/or other subsurface data management disciplines.
• Deep understanding and working knowledge of all types of petrophysical data and other subsurface data types, including: well logs, core data, fluid properties, rock typing/facies, geochemical, geo-mechanical data types.
• Good working knowledge of the curve mnemonics and units for open hole, cased hole, MWD, LWD, etc and their supporting well log file types (e.g. las, DLIS, FMI, lis, etc).
• Strong understanding of logging rock and fluid properties, porosity, permeability and saturation and competent in the use of petrophysical data analysis, databases, and visualization software, such as, Interactive Petrophysics, Techlog, LasWorx, Recall, iPoint, etc.
• Ability to work with OSDU’s open APIs and microservice architecture for ingestion, search, and retrieval of subsurface data.
• Proficiency in AWS, for deploying and managing OSDU environments.
• Knowledge of container orchestration (e.g., Kubernetes) and cloud-native services is essential.
• Competence in Python or similar languages for data extraction, transformation, and loading workflows.
• Familiarity with DataOps principles for streamlining OSDU integration and operational workflows.
• Experience with data lifecycle management in the OSDU and subsurface data management environment.
• Familiarity with data science techniques (e.g., statistical analysis, predictive modeling, etc), machine learning algorithms, and its applications to petrophysical data.
• Deep understanding of cloud computing and data lake environments for large scale data processing (e.g., AWS, Azure, etc).
• Excellent working knowledge of logging operations, drilling, coring, geodetics, well and log headers, downhole units of measure, and API numbering standards.
• Familiarity with 3rd party applications and data consortiums for well and log header information.
• Comprehensive understanding of the end-to-end well lifecycle workflow within the OSDU platform.
• Knowledge of data integration techniques, ensuring that petrophysical data from various sources can be aligned and interpreted consistently.
• Deep understanding of OSDU quality control tools (e.g. Geoquest Alloy) and business intelligence/data visualization software, such as (e.g. PowerBI, PowerAutomate, Spotfire, etc).
• Advanced Excel skills (e.g. for data analysis and reporting) and experience with database management systems (e.g. SQL, Oracle, etc).
• Strong understanding of machine learning, AWS, and data analytics techniques applied to petrophysical data.
• Excellent verbal and written communication abilities for effectively conveying complex petrophysical concepts to stakeholders without technical backgrounds.
• Project management skills to lead and oversee various petrophysical studies and initiatives.
• Remains current with the latest technological trends in data management and IT, especially in the realm of OSDU, AI/Machine Learning, and petrophysics.
• Demonstrate leadership and the ability to guide teams or stakeholders in understanding data governance standards and policies.
• Engages with senior leadership and contribute to strategic decision making.
• Experience with creating and presenting technical reports, presentations, and whitepapers in a variety of settings (e.g. petrophysical business units, upper level management, and internal and external conferences).
• Strong project management and collaborative skills to handle complex tasks and work in cross-functional and multi-discipline teams
• Demonstrates leadership ability complemented by robust data management expertise, effective interpersonal skills, and a commitment to embracing new challenges, deriving insights, and implementing solutions accordingly.
• Proactive and self-driven in managing conflicting priorities, determine next steps without direction, and deliver results within strict deadlines.
• Problem solving skills to address data quality issues, ensure effective data governance, and improve data management processes.
• Possesses a detail-oriented approach and demonstrates the ability to ensure data consistency, accuracy, and completeness across multiple systems.
• Bachelor’s or master's degree in Geoscience, Petroleum Engineering, Data Science, or related field.
• Strong understanding of petrophysical data types (e.g., well logs, core data, interpretations).
• Hands-on experience with the OSDU Data Platform, including data ingestion, schema mapping, and API usage.
• Expertise in industry-specific software tools like iPoint, Recall, IP (Interactive Petrophysics), Danomics, Techlog, OpenWorks, and Petrel.
• Advanced SQL skills for data querying and integration, and proficiency in Python, AI, and cloud technologies.
• Excellent technical and analytical skills including abilities to extract, manipulate, correct, and analyze data using Excel pivot tables, reports, and scripts.
• Excellent interpersonal skills to build relationships with internal and external stakeholders.
• Understanding of data governance, metadata management, and data quality frameworks.
• Excellent problem-solving skills and ability to work in cross-functional teams.

Nice To Haves

• Familiarity with data science techniques (e.g., statistical analysis, predictive modeling, etc), machine learning algorithms, and its applications to petrophysical data.
• Familiarity with 3rd party applications and data consortiums for well and log header information.
• Familiarity with data science techniques (e.g., statistical analysis, predictive modeling, etc), machine learning algorithms, and its applications to petrophysical data.

Responsibilities

• Lead initiatives in petrophysical data management, integration, and digital transformation.
• Enable seamless integration, management, and utilization of petrophysical and other subsurface data types within the OSDU Platform.
• Collect, organize, and validate well log data (depth adjustments, SP baseline offset, etc) and be familiar with applications and methodologies for performing quality control on petrophysical data sets to ensure compliance with company standards.
• Lead or contribute to an enterprise-wide ingestion, transformation, and management of petrophysical data into the Open Source Data Universe (OSDU) platform.
• Support integration of petrophysical data with other subsurface datasets (e.g., seismic, geological, drilling & completion, production) into OSDU.
• Ability to work with OSDU’s open APIs and microservice architecture for ingestion, search, and retrieval of subsurface data.
• Ability to troubleshoot data ingestion and access issues, ensuring compliance with data governance and security policies.
• Collaborate with petrophysical teams to develop data governance frameworks, ensure metadata quality and effective management, and establish security policies for handling petrophysical and geological datasets.
• Demonstrates expertise in the complete well lifecycle, including the integration of petrophysical data into reservoir modelling and informed decision-making processes.
• Collaborate with petrophysicists, geoscientists, petro/geo techs, data scientists, and software developers to ensure process improvement with data quality, accessibility, and usability.
• Integration of AI/ML models into petrophysical workflows for data quality, prediction, and automation.
• Design and implement QC processes for master-well data migration into OSDU.
• Develop custom schemas and alias types to overcome OSDU limitations.
• Applied business rules and technical assurance protocols to ensure data integrity and lineage.
• Ability to manage conflicting priorities and deliver results within strict deadlines.
• Active listener who can understand complex and technical conversations about data issues, develop creative solutions, and implement into the production environment.
• Ability to interact with other professionals in an integrated, multi-disciplinary, and cultural environment that achieves common team goals and drives positive results.
• Troubleshoot data ingestion and access issues, ensuring compliance with data governance and security policies.

Benefits

• Investing in their professional development
• Rewarding opportunities for personal growth
• Meet the highest employer standards by ensuring the health and safety of our employees, protecting the environment and positively impacting our communities where we do business.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree