Oil and Gas
Oil and Gas | Production Engineering
Reservoir Surveillance: Field Development and Production Optimization and the Impact on Completion Design
This course provides an understanding of monitoring technologies for conventional and unconventional reservoirs and how to apply them to optimize field development and optimally produce the reservoir. The technologies will be explained in sufficient detail to allow informed decisions regarding the most appropriate measurements to be made and how to integrate multiple measurements to best design key development parameters, such as well spacing and stimulation interval, as well as to optimize production operations and maximize asset value. Considerations for developing and operating single-reservoir fields as well as stacked reservoirs with horizontal wells (“cube development”) will also be presented.
Schedule
Duration and Training Method
This is a three-day classroom course, consisting of lectures along with multiple case studies, paper-based exercises and discussion. While not required, participants are encouraged to bring laptops or tablets.
Course Overview
Learning Outcomes
- Determine cases where diagnostic and surveillance measurements can provide data to optimize completion and stimulation design and improve hydrocarbon recovery.
- Compare and contrast specific sensing technologies relative to other diagnostic and surveillance monitoring methods, to allow best technology choice.
- Using surveillance techniques to evaluate actual well performance against predicted well production/injection performance, to assess efficacy of specific completion, stimulation, and production designs.
- Screen well completion and reservoir development scenarios using technical and economic analyses.
- Apply simple cost-benefit models for diagnostic and surveillance data acquisition in specific well types.
- Design a high-level field surveillance plan.
- Build a project plan outline for start-to-finish: data acquisition design, vendor and equipment selection, data management and interpretation.
- For various development scenarios, assess where and when specific sensing technologies can provide appropriate diagnostic and surveillance data (i.e. when a particular technology/method works and when another technique has potential to provide superior results).
- Select the most appropriate data acquisition systems to provide reservoir development model calibration and validation information, for various well placement and completion scenarios.
- Design a plan/workflow (high-level) to effectively integrate various different surveillance data.
- Select the sensing system appropriate for well type and surveillance need.
- Specify completion hardware and data acquisition system components needed to accomplish surveillance and completion/stimulation diagnostic goals.
- Modify completion designs to accommodate permanently installed monitoring systems.
- Design data acquisition protocols for specific well types.
- Assess permanently installed and intervention-based (“logging”) options and recommend/justify when to use which options based on well type and information need.
Course Content
Topics covered in this course include:
- Commercial measurement technologies available for specific reservoir types and well designs, with a focus on those most applicable for unconventional reservoirs.
- Well and reservoir diagnostic measurements (completion diagnostics, optimization).
- Well and reservoir surveillance measurements (data acquisition for specific purposes, ongoing monitoring to provide “exception-based” information).
- Integration of multiple technologies for synergy and to fill the information gaps.
- Time-lapse measurements.
- What works and what doesn’t work for specific applications.
- Permanently installed sensors (e.g. optical fiber, P/T gauges, flowmeters)
- Wired and wireless technologies.
- Intervention-based measurements (wireline and slickline logs, “dip-in” fiber optic sensing).
- Seismic methods (including Vsp and microseismic).
- Tracers (liquid-phase and solid-phase tracers, RA & NRA, completion and stimulation diagnostics, production monitoring).
- “Fingerprinting” technologies: geochemical, DNA.
Who Should Attend and Prerequisites
This course is for completion, drilling, production, surveillance, and reservoir engineers. Geoscientists and asset managers involved in field development and production optimization will also find this course informative.
Instructors
Dennis Dria
Background
Dennis Dria is president and petroleum technology advisor for Myden Energy Consulting, PLLC (2010-present). He has 39 years of experience in the oil & gas industry, including 9 years with the Standard Oil Company and 21 years with Shell, in a combination of upstream and downstream oil and gas R&D and E&P operating division positions. At the time he left Shell in 2010, he was a Staff Research Engineer working in the areas of fiber-optic technology development, fiber-optic data management and integration and technology implementation for well and reservoir monitoring. Prior to this he was Engineering Advisor for Shell’s Global Implementation Team for Reservoir Surveillance Technologies during which he identified appropriate in-well monitoring technologies for Shell "top 70" global development projects, resulting in field surveillance plans for more than 20 major E&P projects. He also was Shell’s Global Subject Matter Expert (SME) for Production Logging and Permanent Sensing and SME for Mud Logging, and had formation evaluation and well logging (open-hole and cased-hole) assignments that included planning, vendor selection, operations, interpretation and field studies.
Under Myden Energy Consulting, PLLC, Dennis advises clients on the "right-fit" technology to provide key data and information which result in actionable recommendations for appropriate implementation timing and methods, and assists in deployment, data management, information extraction and interpretation. He has completed consulting projects for more than 20 industry clients, including onshore unconventional gas and oil, deep-water dry tree and subsea wells/fields, and has developed and taught multiple fit-for-purpose short courses. Additionally, he has provided well logging/MWD vendor selection, job planning, and operational supervision for Midland Basin and Delaware Basin (Texas) unconventional field development.
Affiliations and Accreditation
PhD The University of Texas at Austin - Petroleum Engineering
BS Ashland University - Physics and Mathematics
Courses Taught
N472: Reservoir Surveillance Technology and Impact on Completion Design in Horizontal Wells
N473: In-Well Fiber-Optic Sensing (2-Day)
N481: In-Well Fiber Optic Sensing (1-Day)