An Integrated Approach to Seismic Forward Modeling

| |

Schematic illustrating how the CoViz Sim2Seis workflow, tightly coupled with qualitative and quantitative analysis in the CoViz 4D Viewer, offers seismic history-matching capabilities.

Seismic forward modeling is an important step to better understand complex subsurface conditions when using 3D, and especially 4D, seismic data. However, to fully appreciate the impact of the modeling results, data integration is required to set the findings in their full and correct context. Analysts are well aware of the challenges of sifting through multiple applications to manage datasets—which often leads to confusion and wasted time along the way. When it comes to workflows, an analytical scheme that generates impeccable quantitative results is essential, but quickly casting these results into their 4D context which considerably enhances the decision-making process should also be regarded as a must.

What analysts need is a single integrated platform that can ensure all users and stakeholders have the ability to generate and interrogate the required products, with a minimal amount of training, and the lowest possible barriers-to-entry. Provisioning such an environment not only increases user confidence in the final product but it also ensures that the product is delivered on time for critical management decisions that will likely have an impact on the operations and return on investment of the whole field.

The Challenge: Compatibility

Data integration and cross-product compatibility can be one of the most common challenges of seismic forward modeling. Companies with 4D seismic data may have existing workflows sufficient for seismic forward modeling, but this solution may be ad-hoc and multi-vendor. Consequently, a novice user may be challenged with understanding and navigating these dissimilar programs, whilst ensuring the data transferred from one package is compatible and geodetically consistent with a different package. Furthermore, some of the steps in creating a synthetic seismic volume may be in-house scripts, thus requiring increasing amounts of maintenance and quality assurance to ensure compatibility with the sources of the initial data and the static or dynamic cell property models.
When additional time is spent overcoming this friction to integrate data, time for proper analysis may be sacrificed. This could lead to vital insights being lost or missed, leading to suboptimal decisions and lost value.

The Solution: Sim2Seis

Having an integrated approach that carries out the required functional processes in a single application removes the need for the maintenance of bespoke scripts, and also removes the friction of moving data between applications. This approach is evidenced by CoViz 4D’s Sim2Seis workflow in which input data, processes, and products are integrated within a single platform for seamless operations.
The benefits of seismic forward modeling are manifold but are primarily directed toward operators who embark (or are considering embarking) on costly 4D seismic monitoring. Most use cases speak to Assisted History Matching (AHM) and other reservoir model improvement efforts. However, the ability to vary the rock and fluid reservoir parameters—within reasonable limits—also allows users to see if the change in the reservoir will be visible in successive future seismic surveys via the generated synthetic seismic volume—so-called feasibility modeling. If the depletion of hydrocarbons and other reservoir changes are not visible in the synthetic seismic volumes, then it is likely the acquired seismic volume will likewise not reveal the all-important reservoir changes. Thus, the operator can be spared the expense of collecting 4D seismic data that would reveal little of value.
The more common AHM modality uses the CoViz Sim2Pem and Pem2Seis modules in sequence to generate synthetic seismic volumes from the modeled reservoir. When compared to observed seismic data, departures can lead to important changes in the dynamic model to improve the match. Ultimately, the reservoir is better understood, and hence better exploited, when seismic assisted history is matched in this fashion. Unification and consideration of varied input data (seismic, well, production, subsidence etc.) is critical in constraining these forward modeling matches.

Simplified Seismic Forward Modeling with CoViz 4D

In summary, the creation of seismic forward modeling can be hampered by mismatches in form and format between different software packages and formatting issues. Workflow complications can result in lost datasets, causing errors, delays, and incomplete solutions that could lead analysts astray during the decision-making process. With CoViz 4D, practitioners can almost entirely eliminate the need for multi-vendor solutions. Instead, users can integrate disparate datasets regardless of origin.

With CoViz 4D, practitioners can almost entirely eliminate the need for multi-vendor solutions.

By using CoViz 4D, data transfers are a frictionless process, all the while ensuring that spatial data are geodetically consistent, and interpretations are current, throughout the process. The Sim2Seis workflow creates synthetic seismic data from simulation models, allowing users to better estimate the seismic properties and predict seismic responses. CoViz 4D’s Sim2Seis provides greater clarity into rock and fluid properties, giving managers and operators a necessary insight leading to smarter operational decisions and additional hydrocarbon extractions.

CoViz 4D, a data analysis software from Dynamic Graphics, Inc., provides an integrated approach to seismic forward modeling, giving frictionless data conversions and optimizing workflow efficiently. To learn more about CoViz 4D, contact our team.

FURTHER READING

Well Performance Comparison: The Benefits of Integrated Data Visualization & Analysis

Wellpaths shown with a Gamma Ray model and seismic cross section where different well segments represent areas in which certain criteria are met from intersecting the model. The purple tube represents meeting all three criteria (seismic, Gamma Ray, and Poissons...

Harnessing Geothermal Energy from Mature Oil Fields

The demand for environmental and economic sustainability has encouraged industries to approach new techniques of energy development. The hydrocarbon sector is increasingly looking at the mature and depleted oil fields that meet the temperature requirement for any...

How Leveraging a Digital Oilfield Leads to Improved Operations

A mechanical issue in a well is a common occurrence, but issues found in more than one well could indicate a larger problem within the reservoir. To avoid reservoir dilemmas that can hamper well-placement strategies and incur long-term costs, analysts need a complete...

Mitigating Well Interference via Microseismic Data Visualization

Visualizing microseismic data and frac events in the context of offset wells, well logs, and geologic and reservoir models in CoViz 4D can reveal possible well interference occurrences and enable better decision making.To maximize production from low-permeability...

Fracture Stimulation Analysis to Aid Production

Geophones in offset monitoring wells and surface arrays integrated with geologic and fracture models and other borehole data in CoViz 4D can greatly improve the understanding and assessments of frac treatments in near-real-time, enabling timely and better...

Site Selection for Geothermal Power Plants: Comprehensive Visualization of Geographical Data

With the increase in sustainable energy demand across the globe, there has also been an increase in interest in geothermal energy sources. Industries are increasingly seeking an interest in the exploration of potential geothermal sites for geothermal reserves....

Seismic Reservoir Monitoring Through Visualization

An ideal design, development, and management plan for hydrocarbon asset development comes from having a better understanding of  all known geological and petrophysical aspects of the subsurface. But given the dynamic nature of the reservoir and its attributes, petroleum professionals can encounter some complexities in the process of in-depth analysis.

Share on Social Media