Unlocking the potential
of seismic data
We create software solutions for the oil and gas industry that accelerate decision-making, improve subsurface understanding, and help solve the most complex geological challenges.
News & Events
A platform for seismic data interpretation
IP_Seismic software is designed for qualitative and quantitative interpretation of seismic data and for predicting oil and gas reservoir properties. The platform uses machine learning, seismic inversion, and specialized algorithms for seismic wavefield analysis.
Key capabilities:
- Applying upscaling to the time-depth relationship
- Interval velocity QC
- Correlation coefficient map
The software package IP_Seismic is registered in the Unified Register of Russian Software for Computers and Databases — register entry No. 15221, inclusion date October 14, 2022, based on the instruction of the Ministry of Digital Development, Communications and Mass Media of the Russian Federation dated October 14, 2022, according to Expert Council meeting protocol No. 1483pr dated October 10, 2022.
The software price is determined individually for the equipment of each workstation.
Services
We provide a full range of geophysical services required to obtain a reliable quantitative understanding of the subsurface. Every project is unique, so we build the workflow flexibly and in close cooperation with the client, ensuring that our team and technologies address the specific task as effectively as possible.
We would be pleased to develop a high‑impact, customized proposal for your project. Contact us to explore how our quantitative seismic interpretation expertise can help you achieve your objectives.
Well and seismic data conditioning
- Amplitude and spectral balancing
- Structure-oriented filtering
- Multiple attenuation
- Spectral enhancement
- Quality control and correction of sonic and density logs
- Seismic modeling
Seismic-well tie and wavelet extraction
Seismic attribute analysis
- Various types of seismic data decomposition
- RGB, CMYK, and HSV data visualization
- DTW (Dynamic Time Warping) attributes
- Fault Simulation attributes
Low-frequency model building
- Accounting for complex structural frameworks, faults, and depth trends
- Using seismic velocities
Rock physics modeling
- Analysis of elastic and petrophysical properties
- Calculation of modeled P-wave velocity, S-wave velocity, and density
- Geological scenario modeling
- Rock physics templates
Quantitative interpretation
- Neural-network technologies
- Seismic inversion
- Rock physics inversion
- Bayesian classification
Project results
Oil saturation prediction
Fracture prediction
Petrophysical property prediction
Search for bypassed reservoirs
Expert team
Our company brings together specialists in geophysics, machine learning, and software development for the oil and gas industry.
Ivan I. Priezzhev
Expert in mathematical methods and software solutions for the oil and gas industry. Specializes in next-generation neural-network technologies and inversion of seismic, gravity, and magnetic data.
Has 19 years of experience at Schlumberger in technology development, expert technical project management, and software product promotion. Led development teams and contributed to major geophysical and mapping systems.
Author and co-author of 7 patents in Russia and the United States and more than 70 scientific publications. Software developer with 30 years of experience in Fortran, C, C++, and C#.
Andrey Nikiforov
Responsible for the software platform architecture, development organization, and implementation of technology solutions in the company’s software products.
Dmitry Danko
Expert in quantitative interpretation of seismic data. Research interests include seismic amplitude inversion algorithms and machine learning methods for geological and geophysical tasks.
Alexey Shubin
Expert in rock physics modeling and quantitative seismic data interpretation.
Research interests include development of rock physics models and inversion algorithms for quantitative prediction from seismic data.
Clients & Users
Our solutions are used by oil and gas companies, service companies, research centers, and universities. Below are organizations with which the company works and for which software solutions are developed.
Oil & gas and service companies
Universities
