18070023. Predicting Reservoir Quality simplified abstract (Saudi Arabian Oil Company)
Contents
- 1 Predicting Reservoir Quality
Predicting Reservoir Quality
Organization Name
Inventor(s)
Predicting Reservoir Quality - A simplified explanation of the abstract
This abstract first appeared for US patent application 18070023 titled 'Predicting Reservoir Quality
Simplified Explanation
The patent application describes systems and methods for predicting reservoir quality by measuring properties of a subsurface reservoir, initializing a modeling grid and domain representing a sediment textural framework, predicting sediment deposition, updating the modeling grid and domain, transferring to a diagenetic model, simulating physical and chemical changes to deposited sediments, storing the modeling grid and domain, and drilling a test well based on the model.
- Measuring properties of a subsurface reservoir
- Initializing a modeling grid and domain representing a sediment textural framework
- Predicting sediment deposition using a depositional model
- Updating the modeling grid and domain based on predicted deposition
- Transferring to a diagenetic model to simulate changes to deposited sediments
- Storing the modeling grid and domain for future use
- Drilling a test well based on the model
Potential Applications
The technology can be applied in the oil and gas industry for reservoir characterization and exploration purposes.
Problems Solved
This technology helps in predicting reservoir quality and optimizing drilling locations, reducing the risk of dry wells and increasing overall efficiency in exploration and production activities.
Benefits
The benefits of this technology include improved accuracy in reservoir characterization, reduced exploration costs, and increased success rates in drilling operations.
Potential Commercial Applications
One potential commercial application of this technology is in providing consulting services to oil and gas companies for reservoir evaluation and well planning.
Possible Prior Art
One possible prior art could be the use of seismic data analysis for reservoir characterization and exploration, which has been a common practice in the oil and gas industry for many years.
Unanswered Questions
How does this technology compare to traditional methods of reservoir characterization and exploration?
This article does not provide a direct comparison between this technology and traditional methods, leaving the reader to wonder about the advantages and limitations of each approach.
What are the potential limitations or challenges in implementing this technology in real-world scenarios?
The article does not address any potential obstacles or difficulties that may arise when applying this technology in practical situations, leaving room for speculation on its feasibility and effectiveness.
Original Abstract Submitted
Systems and methods of predicting reservoir quality can include measuring properties of a subsurface reservoir. Based on the measured properties of the subsurface reservoir; a modeling grid and domain representing a sediment textural framework of a subsurface reservoir are initialized. Deposition of sediments during the time period is predicted using a depositional model. The modeling grid and domain are updated based on the predicted deposition. The modeling grid and domain is transferred from the depositional model to a diagenetic model. The sediment textural framework of the area's subsurface is updated using the diagenetic model to simulate physical and chemical changes to deposited sediments during the time period. The modeling grid and domain is stored and a test well can be drilled based on the modeling grid and domain.
