Abstracts - Virtual Lecture Series 2016 - Season 2
Enhancing Thin Bed Resolution and Detection with Quantitative Interpretation (18:21)
In the current O&G environment, it is increasingly important to provide an accurate description of reservoir properties, in order to optimize production and increase drilling efficiency. The integration of Quantitative Seismic Interpretation (QSI) into the seismic interpretation process is one of the most effective methods for reducing risk and uncertainty.
We present a project involving the investigation of ultra-thin carbonate reservoirs under the geological conditions of Belarus, using a new, fully synchronous prestack inversion of gathers (PMLI – Inversion) followed by stochastic refinement methods. The main result of this study shows the ability of the new inversion technology to improve the reliability of oil saturation prediction in thin reservoirs and at great depths. These results are critical and will be used for future field development as allowed, to optimize the drilling of production wells through a deeper understanding of reservoir architecture.
Featured Technologies: QSI for Reservoir Geophysics
Ensuring Wellbore Stability with Geomechanics and Pore Pressure Prediction (32:50)
Modeling pore pressure and determining a reservoir’s mechanical properties are significant factors in reducing drilling risk and maximizing well and reservoir productivity. They provide critical input into the placement of a well and play a vital role in designing the most cost effective mud and casing programs, which in turn ensure stability of the wellbore and aid well completion. Paradigm Geolog has long been the industry standard for petrophysics and formation evaluation. With the release of Geolog 7.4, Paradigm addresses the essential aspects of log-based pore pressure prediction and borehole Geomechanics.
Featured technologies: Geolog®
Diffraction Imaging from Full-Azimuth Data and Legacy Data for Improved Structural Resolution (16:13)
In depth migration, recorded wavefield components mapped at each depth point consist of specular energy and diffraction energy. Paradigm innovates with a technique in which the diffracted component is separated from the total migrated wavefield. That diffracted component plays a vital role in building an accurate structural framework. By designing an optimal filter, diffraction imaging can also be used to map small scale subsurface geological objects and discontinuities such as faults and uncomformities. This methodology enables geoscientists to improve structural resolution, and perform accurate interpretation and modeling for further exploration workflows.
Featured Technologies: EarthStudy 360®
Extract Higher Definition Fault Information from your Seismic Data (26:00)
A detailed understanding of the fault network is essential in order to build an accurate structural framework. With higher definition fault information, we are able to better quantify reservoir compartmentalization risks and optimize well placement at any stage of the project cycle.
In this presentation we work with multiple seismic attributes which aid fault extraction, building in complexity from standard poststack options, including the high-resolution Fault Likelihood attribute, to the benefits of Diffraction Imaging using full-azimuth prestack data which can reveal faults normally considered to be beyond seismic resolution. Of course, the generation of this array of attributes leads us to the requirement for powerful, efficient multi-volume visualization techniques that enable the interpreter to maximize the value of these volumes, and efficient automatic fault interpretation, which allows geoscientists to go beyond visualization and accurately capture this increased resolution in their structural interpretation.
Featured Technologies: SeisEarth®
Maximize the Efficiency of your 2D Reprocessing - the Best Results, Fast (15:54)
2D processing and imaging are the most cost-effective way to study the subsurface in terms of structural geology and reservoir properties. However, since a single 2D line only provides limited information, multiple 2D lines are acquired across the area.
Paradigm continues to strengthen its 2D processing and imaging solutions by rejuvenating 2D tomography and introducing a new multi-line batch process. Now geoscientists can efficiently update velocity models by using Paradigm's modern and easy-to-use tomography engine on multiple 2D lines in a single run. In addition, by increasing efficiency through multi-line batch processing, Paradigm provides geoscientists with full 3D visualization advantages from 2D data, thus enhancing the power of QC workflows.
Featured Technology: GeoDepth®
Capturing Geological Model Uncertainties to Improve De-risking (21:57)
"What we know is a drop, what we don’t know is an ocean" ... this quotation from Isaac Newton aptly illustrates geologists’ knowledge of the subsurface. All reservoir understanding is derived from indirect measurements: models and concepts are largely used to obtain a possible representation of the subsurface and forecast field behavior. As a result, uncertainty is everywhere, and one of the main challenges is to propagate the uncertainty across disciplines and perform an integrated uncertainty study.
Featured Technology: SKUA-GOCAD™
Facies Classification and Prediction to Improve Understanding of Reservoir Heterogeneities (20:40)
Paradigm proposes a systematic workflow that integrates all uncertainties, from time-depth conversion and interpretation bias to reservoir properties and simulation parameters. SKUA-GOCAD's unique modeling approach, based on the patented UVT Transform®, enables stochastic simulation of all faults, horizons and fluid contacts, and automatically updates the 3D geological model accordingly while preserving its geological integrity. Uncertainties related to the structure are combined with petrophysical uncertainties to quantify their mutual and distinct impacts on reservoir recoverable volumes, connectivity and production forecasts.
But that is not all. The direct link between SKUA-GOCAD and flow simulators also enables the integration of dynamic uncertainties and the automatic launch of simulations from the modeling platform. The resulting production data can be analyzed and compared with production history to help identify a prehistorically matched model that respects input data and geological knowledge, regardless the geological complexity.
Pattern recognition in data mining has proven to be a valuable addition to Quantitative Seismic Interpretation methods, for improving understanding of the reservoir depositional system and reservoir properties. This presentation displays some of Paradigm’s seismic attribute calculation and amplitude inversion technologies, constrained by geological information, for enhanced qualitative and quantitative reservoir characterization. The implementation of seismic facies classification methods demonstrates the benefits of artificial intelligence when extracting information about reservoir lithology. The combination of multiple seismic attributes with well information provides a deeper understanding of reservoir rock properties in terms of facies distribution, porosity estimation, and fluid content.
Featured technologies: Stratimagic®
Developing 3D Mechanical Models to Evaluate Reservoir Stability against Production Scenarios (28:02)
Reservoir studies aim at understanding and describing the dynamic behavior of hydrocarbon reservoirs by properly integrating all available geological, geophysical, petrophysical and engineering information, in order to confidently predict the future performance of the field under different development and production strategies. Capturing and preserving the high complexity and heterogeneity that characterize the majority of the reservoirs' phases is the key starting point for accurate geomechanical analysis. These include reservoir stability, prediction of reservoir compaction and subsidence, reservoir safety analysis, and enhanced recovery production planning. As an example, producing hydrocarbons from highly stressed faulted reservoirs, either through primary depletion or enhanced recovery production, can result in unanticipated fault reactivation, leading to potential material impacts, loss of production and possibly the reservoir itself. Enabling the integration of a high fidelity geological model with geomechanical simulation opens the door to an optimal management of the reservoir and control of production risks.
Featured Technology: SKUA-GOCAD™