Accurate reservoir performance analysis requires a detailed understanding of the correlations among multiple factors, guided by the experience and expertise of a multi-disciplined team. The sizeable financial outlays in exploration, drilling, and production demand optimum efficiency to maximize the return on investment.
Throughout the life of a reservoir, operators have the opportunity to monitor development and performance using the volumes of geophysical, operational, and production data. Operators who invest in the tools to aggregate and carefully analyze these data over time greatly increase their ability to assess reservoir potential and maximize recovery and profitability.
Leveraging Subsurface Data for Analysis
Consider the diversity and detailed types of subsurface data—the historic as well as continuous streams—that provide critical insight for the various disciplines of the asset management team.
- 3D/4D seismic surveys, time or depth seismic structure maps, reservoir interval maps
(time or depth), attribute analysis and maps, and synthetic seismograms
- field structural models and maps, including fault orientation and offset
- reservoir lithological models, including reservoir interval isopach maps and isolith maps
- open hole logs, mud logs, core, cuttings, log cross-sections, facies models, and directional surveys
Reservoir, Completion, and Production Engineers
- casing design, completion locations, perforated intervals, frac design and pumping data, directional surveys, pump specifications and efficiencies, artificial lift design, and efficiency ratings
- cased and open hole logs, reservoir simulation models
- production data and graphs such as decline curves & BHP/Z
- rheological information, pressure—surface and bottom hole, oil/water cut, fluid rates, and gas production
These data deliver their maximum value when fully integrated and analyzed in combination with all other available subsurface data. An integrated approach to reservoir performance analysis gives multi-disciplinary team members immediate access to relevant datasets and the ability to visualize the information in multiple dimensions.
An integrated approach to reservoir performance analysis gives multi-disciplinary team members immediate access to relevant datasets and the ability to visualize the information in multiple dimensions.
Qualitative and Quantitative Analysis
A 3D/4D visualization environment encourages geoscience and engineering disciplines to evaluate each other’s ideas, assumptions, and recommendations through direct qualitative and quantitative comparisons.
There are nearly infinite ways that reservoir characteristics and production metrics can be analyzed to assess and improve reservoir performance. Below, we’ve listed several examples that demonstrate the value of data integration and the power of visualization when conducting reservoir performance analysis.
- Compare the 4D seismic response against the dynamic model and production data. Long, narrow hardening signals indicate water is replacing oil along in injection wells and provides strong evidence of the effective performance of water injection along the completed intervals.
- Create a petrophysical model of oil saturation using existing field data. Perform reservoir characterization to verify remaining reserves. Use extended-reach drilling to access bypassed oil while minimizing cost risks in planning expensive horizontal wells.
- Combine measurement-while-drilling (MWD) data with existing horizontal well data and digitized injection surveys to visualize and identify dominant, unswept flow units.
- Characterize thinner sand bodies into unique units, including core descriptions combined with log-rock typing, detailed log correlation, and production/injection history matching for bypassed pay-saturation analysis regarding recent pass-through wells.
- As part of a thermal-enhanced recovery project expanding an existing steamflood project, determine the optimum placement for horizontal laterals, i.e., at the bottom to maximize capture of oil through steam-assisted gravity drainage (SAGD).
The integration of all relevant data generated during the course of reservoir exploration, development, and production combined with the ability of multidisciplinary teams to collaboratively visualize and analyze the data facilitates the most accurate reservoir performance analysis.
Optimum Reservoir Performance Analysis Requires Collaboration
All key disciplines—geologists, geophysicists, reservoir, completion, and production engineers—responsible for optimizing reservoir performance can obtain the most accurate analysis using the capabilities of CoViz 4D. The ease of integrating all the datasets that characterize reservoir attributes and monitor performance combined with the ability to collaboratively visualize and analyze the data allows asset teams to make the optimum decisions to maximize reservoir performance.