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Job Requirements of GEOSCIENCE TECHNICAL DATA:
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Employment Type:
Contractor
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Location:
Houston, TX (Onsite)
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GEOSCIENCE TECHNICAL DATA
Careers Integrated Resources Inc
Houston, TX (Onsite)
Contractor
Job Title: Geoscience Technical Data
Location: Houston, TX
Duration: 12 Months
Description:
Apply subsurface Technical DM principles to support studies in Oil and Gas Exploration and Field Development in the following specialty areas:
As a Technical Data Management Consultant, youll support and deliver efficient and sustainable technical data management and associated workflows through the full project data lifecycle from project framing and setup, through project execution to project close-out, including results publishing and assurance. This will require you to identify, plan, and contribute to the delivery of improvements associated with subsurface databases, software, and tools. Having a demonstrable ability to balance reactive with proactive thinking is essential.
Requirements:
Location: Houston, TX
Duration: 12 Months
Description:
Apply subsurface Technical DM principles to support studies in Oil and Gas Exploration and Field Development in the following specialty areas:
- Geological Data - well and reservoir modeling data such as well headers, porosity, permeability, reservoir data derived from geochemical samples, and metadata such as well names, depths, and well coordinates. Typical stores for well data are the Corporate Data Store for corporate data and Petrel for project data.
- Petrophysical Data - well logs and Petrophysical analysis. Data types include wireline, MWD, borehole, sonic, and core data. Typical data stores are Recall and Petrel.
- Geophysical Data - geophysical data such as seismic traces (2D and 3d), seismic navigation data, and potential field data.
As a Technical Data Management Consultant, youll support and deliver efficient and sustainable technical data management and associated workflows through the full project data lifecycle from project framing and setup, through project execution to project close-out, including results publishing and assurance. This will require you to identify, plan, and contribute to the delivery of improvements associated with subsurface databases, software, and tools. Having a demonstrable ability to balance reactive with proactive thinking is essential.
- The role requires strong subsurface business domain knowledge coupled with Technical Information & Data Management (TD) Technical Data knowledge, with a demonstrable passion for Continuous Improvement.
- The position requires a strong understanding of subsurface business processes and knowledge of the complete Project Data and Information Lifecycle in subsurface projects. Expertise in data flow is also required, including how subsurface data enters the project space, is synchronized between various applications and project stores used in the workflow, and how the final or results are published back to the corporate environment.
- Youll be expected to collaborate across boundaries and stakeholders to ensure business delivery of data as an asset.
Requirements:
- Relevant degree in a subsurface discipline (e.g., Geology, Geophysics, Petroleum Engineering) and/or extensive experience in TD (Technical Data) supporting subsurface assets.
- Experience with TD in a team environment with a minimum of 5 years of industry experience
- Demonstrable experience in the use and development of common TD workflows, practices, standards & tools, including but not limited to core applications such as Petrel, Techlog, OpenWorks, OpenSpirit, and Recall.
- Analytical ability combined with a pragmatic approach to solving problems with exposure to CI (Continuous Improvement) and DQ (Data Quality) to improve TD delivery & value
- Proven experience of having worked in the subsurface business and acquired domain knowledge in any or more of the following areas: Exploration, Development, CCUS, Wells, WRFM (Well, Reservoir & Facilities Management). Familiar with IM (Information Management)
- Adaptability to changing data and project demands, and exposure to process change management
- Readiness to champion all issues related to data security and understanding of associated Entitlements & Obligations and Data Security & Restrictions
- Confident and effective communication with demonstrable influencing skills
- Work requires a comprehensive understanding and capability to support exploration and production asset teams, with primary emphasis on project data management involving:
- Well Header Data Management: To ensure the basic Well Information is in place and complies with standards. All COMPANY wells need to be loaded to the Corporate DataStore with the correct well header information and as per defined work instructions. Procedures also exist for non-Client wells well data must be released as per Governmental Obligations.
- Corporate Well Data Loading for Petrophysics, Geoscience & Geology Mainly well picks, stratigraphy, and log curves are stored in proper format and accessible from corporate datastores. Follow the well log data route for corporate interpretation datasets to successful publishing in Corporate Databases and distributing this data to other Client project data stores and application environment (e.g. OpenWorks, Techlog). Publish to prevent loss of data and enable the ability to reproduce or audit results. Data is handled and processed in line with the applicable data standards to ensure data quality and process safety compliance. Final and corporate Petrophysical (PP) interpretations must be stored in the Corporate Data Store (Recall) to complete the evaluation cycle.
- Data Quality Monitoring & Improvements: To help with the Information Quality Metrics (IQM) application and with data quality improvement projects. Ensure a transparent, standardized, practical, and scalable approach to data quality management that reflects business priorities and objectives.
- Seismic Data Management Services: This covers all types of seismic data, including but not limited to 2D, 3D, and The Client, field, pre-stack, post-stack and workstation data. The data types cover the entire lifecycle from acquisition to processing, interpretation, archiving and distribution. The data types include trace data, navigation data, interpretation results, workstation data, velocity data, VSP, operational metadata, physical and digital archives (HSM & Exploration Archives)
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