Led by scientists at the Technical University of Delft

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Delphi A&P Projects

Delphi A&P Projects

Acquisition and Preprocessing (A&P) project

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  • interactive design for optimum acquisition geometries , including the effect of blending and the extra illumination properties of the multiples;
  • the concept of dispersed source arrays (DSA's);
  • deblending technology for separating overlapping shot records;
  • analyzing the effect of ghosts on realistic sea states;
  • source and receiver deghosting, by considering the proper wave theory and realistic sea states;
  • solving the complex near-surface problem via integrated full wavefield imaging and velocity estimation technology (i.e. Joint Migration Inversion).

Delphi M&I Projects

Delphi M&I Projects

Multiple Utilization & Structural Imaging (M&I) project

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The focus in the M&I project is not only separating primaries from multiples, but also using both primaries and multiples in the migration process (FWM). Hence, multiples are considered as important information. In addition, the migration process has been extended to simultaneously estimate velocity as well (JMI). We expect that multiple utilization and simultaneous velocity estimation will improve the quality of seismic images beyond expectation

  • surface-related and internal multiple estimation;
  • using multiples to estimate missing (near) offsets;
  • imaging of blended seismic data, optionally including surface multiples;
  • imaging using also internal multiples, i.e. full wavefield migration (FWM);
  • estimation of the velocity model , i.e. joint migration-inversion (JMI), also including anisotropy and fine-layering effects.

Delphi C&M Projects

Delphi C&M Projects

Dynamic Characterization and Reservoir Monitoring (C&M) project

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Similar to the objective to use multiple scattering in our imaging research, we also utilize multiple scattering in characterization. Using the velocity model as a background medium (output of JMI), it involves a full inversion of the seismic data, not in terms of boundary parameters but in terms of layer parameters (velocity and density). In this way a high-resolution estimate of the elastic reservoir parameters is obtained directly from the seismic data (data-driven inversion).
The main advantage is that internal multiples will contribute to the quality of the reservoir properties, meaning that the concept of primary reflection input is not used anymore.

  • Joint migration inversion of VSP data (JMI for VSP);
  • Joint migration inversion of VSP data (JMI for VSP);
  • • Broadband, nonlinear, full waveform seismic inversion by using both primaries an internal multiples (FWI-res);
  • Reservoir monitoring with JMI and FWI-res (4D);
  • Estimation of lithology and porefill, using the output of FWI-res.,
  • Joint inversion of seismic and EM data (data assimilation).

Joining Consortium

Joining the Delphi Consortium

Sponsor Fees

The Annual fee for sponsoring Delphi is as follows:

  • One Project: US$ 30,000 per year (US$ 15,000 late entry fee)
  • Two Projects: US$ 45,000 per year (US$ 22,500 late entry fee)
  • Three Projects: US$ 55,000 per year (US$ 27,500 late entry fee)

Delphi Sponsors

The Delphi Consortium is financially supported by approximately 30 companies, distributed over three projects. We meet twice a year, once in Europe (The Hague) and once in the US (Houston).

Delphi Consortium for Geo-Imaging

Led by scientists at the Technical University of Delft (the ‘Delphi team’), ca. 30 international companies in the geo-energy sector finance together new options in the field of geophysical imaging. With modern geo-imaging technology it is possible to look into the earth at large depths, making the complex geological structures visible and showing the composition and properties of rocks in great detail.

Advanced geophysical imaging is vital for the exploration and production of the Earth’s resources (hydro-carbons and minerals). Furthermore, it may play a crucial role in reducing the CO2 footprint on our planet by CO2 sequestration in a safe and sustainable manner. On a smaller depth scale, this technology can be utilized for geothermal activities or characterizing the near-surface area for engineering applications like underground construction and installing wind turbines.

The Delphi research is not only important for production, injection and engineering processes. Better understanding of the complex dynamic processes in the Earth – think at earthquakes and volcanic eruptions – is also of significant importance for society as a whole. In particular, geological layering represents an impressive archive that reveals the changing natural environment on planet Earth over millions of years. It is expected that the geo-sciences will play a key role in handling the vulnerability of the Earth and monitoring its subsurface processes.

A unique property of Delphi is that scientific results are formulated at different levels of abstraction. This has the advantage that at the Delphi meetings communication between researchers and sponsors occurs at a conceptual level, containing the essentials only. At lower levels, increasingly more theoretical detail is visible. The lowest level represents the Delphi software, containing all required detail needed for application at the sponsor’s site.

Strategic research portfolio

The Delphi Consortium, founded in 1982 by professor Guus Berkhout, and since 2016 directed by Dr. Eric Verschuur, provides participating companies insight into the world of the latest technological opportunities in the field of advanced acquisition, closed-loop, full wavefield seismic imaging and high-resolution characterization of the target area. The Delft research group focuses on the major bottlenecks that all companies have in common. Therefore, the research is fundamental and forward-looking (‘strategic fundamental’) and does not aim at solving specific problems of individual companies.

The research findings – being distributed in the form of reports, presentations and algorithms – are pre-competitive and are used by all participating companies to update their vision of the future. In addition, the Delphi algorithms function as an enabling ‘technology platform’ for the renewal of their products and services portfolio. Delphi creates options for the future. The participating companies make their own choices about what they do with those options.

Dear Delphi member

Besides aiming for conducting high-quality research we also strive to optimally bring these results to you. Currently, we give written reports (as PDFS), provide software releases and have twice a year our consortium meetings.Of course, we can always improve. Therefore, click on Delphi Enquête via which you can provide your feedback or  suggestions to our program.

With kind regards, Eric Verschuur

New role for geophysics in the 21st century

The Delphi Consortium was founded back in the early 1980s. It focused on research to improve the seismic imaging method and it targeted sponsors from the oil & gas industry. Of course the world has changed since then. In particular, over the years there has been an increasing awareness of the impact of fossil fuels on the environment. The fact that the rising concentration of carbon dioxide (CO2) in the air is due to anthropogenic emission and is contributing to the global temperature increase, see the graph in Figure 1, is hardly questioned anymore.

To avoid a future where the global temperature becomes too high, in the year 2015 175 parties signed the so-called Paris agreement, in which CO2 reduction is considered to be a key goal. Climate action is also one of the Sustainable Development Goals of the United Nations. Inspired by initiatives such as these, Delft University of Technology, DELPHI ’s ‘alma mater’, came up with a climate action mission, stating that it ‘will harness its innovative powers to support the world-wide transition to non-fossil energy’.

Within DELPHI we have decided to no longer focus exclusively at oil &gas applications, but to broaden the scope to other geophysical and geotechnical applications in the geo-energy sector, as similar type of technologies, methods and algorithms are applicable in all these fields.

Traditionally, seismic imaging has been largely developed to explore the subsurface in the search for oil & gas. Over the years, the seismic method has been improved tremendously with respect to resolution, structural accuracy, signal-to-noise ratio, etc. To search for hydrocarbons is not the only activity related to the subsurface though. In particular, in recent years the number of applications making use of the (near) subsurface has increased considerably. Many of these aim at the development of a sustainable energy system

Cyclic interaction, Multi-physics and Machine Learning

The research within Delphi is based on maximizing the information from geophysical measurements and optimally making use of prior knowledge in terms of gravity data, EM and geologic information. Within this framework the topics of acquisition, processing, imaging and characterization of geophysical measurements are fully inter-connected, where the resolution requirements in the characterization phase drive the innovations in acquisition, within the given economic constraints. This is what we refer to as cyclic interaction.

The full wavefield approach ensures that all higher-order scattering in the measurements are considered as part of the total illumination of the subsurface. In this way, all ‘noise’ in the data becomes ‘signal’, multi-scattering problems become opportunities for additional illumination! Furthermore, the strategic use of Artificial Intelligence and Machine Learning technology provides a great support to our physics-based solutions.

Besides striving for a stronger emphasis on sustainable geo-imaging applications, Delphi hopes to cross-fertilize its research to other application fields such as medical imaging and non-destructive testing. We believe that – despite its difference in scales – the high-resolution challenges and potential innovations are common in these fields. Examples are imaging in the human body in areas with bone (the chest, the brain) and using all high-order scattering in complex constructions.

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