Seismic forward modelling software

In complex geology, traditional RTM offset-domain common image gathers ODCIG suffer from artifacts due to multiple paths of wave propagation around complicated structures. The CIGs indexed by subsurface reflection angle suffer much less from migration artifacts for complicated structures, however early implementations of RTM angle gathers have been cost prohibitive.

Below lists major components of the AxRTM library. The architecture of AxRTM is designed to allow for the addition of geophysical functionality in a modular fashion. This application enables a fast and accurate simulation of 2D and 3D seismic energy in an acoustic medium. AxWAVE is used in seismic forward modelling applications to generate synthetic shot gathers over complicated subsurface structures.

The wave propagation engine accurately models acoustic wave behavior, so the resulting shot gathers contain direct arrivals, primaries, surface multiples, and interbed multiples. This simulation process closely emulates acquired field data. Companies can therefore benefit from predicting and validating before investing, reducing costs and improving confidence in decision making. Seismic Forward Modelling can be used in different applications. In seismic acquisition survey design , seismic forward modeling reduces the risk in seismic exploration by providing quantitative information for better designing 3D acquisition geometries.

The forward modelling process can also generate illumination maps to visualize the subsurface seismic energy distribution. To browse Academia. Log in with Facebook Log in with Google. Remember me on this computer. Enter the email address you signed up with and we'll email you a reset link. Need an account? Click here to sign up. Download Free PDF. Peter Hedin. A short summary of this paper. Accurate 3D interpretations is challenging geophysical methods provide a multitude of information when only 2D seismic reflection data are available.

This about the subsurface that, when combined with other can be compensated for by using additional data. Here information, may resolve the different lithologies and we present two case studies where 2D seismic reflection structures beneath the surface. Here we present two deep drilling and mining.

In the first case, a surface case studies: 1 combining bedrock geology and 2D geological map and high resolution 2D seismic reflection seismic profiling to create a 3D model of sub-surface data were used to create a 3D lithological model of the structures in the cover nappes of the Scandinavian subsurface structures in an area around a scientific deep Caledonides in preparation for scientific deep drilling; drilling site.

This model was also compared to results and 2 using 3D forward modeling to provide from constrained 3D inverse modeling of gravity data. In information for more accurate interpretation of 2D the second case, seismic forward ray-trace modeling was seismic data in exploration of a massive sulfide deposit used to delineate a massive sulfide ore body by using in central Sweden.

Furthermore, in the first case, high resolution 2D seismic reflection data. By comparison of the generated synthetic data with the real data, it was potential field modeling was an important tool in found that the top of the ore body was detected. Reflection seismics, 3D interpretation, inverse gravity modeling, seismic forward modeling 2 3D Seismic Interpretation 1 Introduction The scientific deep drilling project COSC Collisional Orogeny in the Scandinavian Caledonides was designed In geosciences, and especially resource prospecting, an to study major tectonic features and key questions understanding of the 3D geometry of subsurface regarding orogenic processes and, in particular, the structures is essential and often the desired goal of emplacement of hot allochthons Gee et al.

Two geophysical surveying. Different geological and fully cored boreholes of c. The software includes the following modules: 1. Refraction waves forward modeling and inversion in arbitrary layered medium , 3. Reflection waves forward modeling and inversion in arbitrary layered medium. ZondST2d represents ready solution for seismic tomography , and solves wide range of problems from mathematical modeling and quality control to field data processing and interpretation. Convenient interface and variety of data visualization features allow to solve wide range of geological problems with maximum effectiveness.

The software consists of two basic modules. One for the first times picking on the seismograms. The second is used for solving forward and inverse problems of seismic tomography.

For the seismograms processing developed a special interface designed to simplify and automate the process of first arrivals times picking. Special attention is paid to variety ways of data visualization and simple access to frequently used functions. This algorithm is characterized by a high-speed calculations, and controlled accuracy.

ZondST2d uses simple and clear data format which allows easily combining various systems of observation, including different variants of the topography setting up and other additional information.

Important stage which prevents field measurement is mathematical modeling of velocity structure for seismic tomography survey. 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.

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. 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. 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.

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.