Techlog 2015 Cracked Download
Depth conversion:-Time to depth conversion represents one of the most intimidating workflows in reservoir characterization. A major key aspect is the ability to analyze data reliably.Time to depth conversion is a complex process. Blueback Rocks Velocity is a transparent tool that gives users full insight and control of all velocity related data. It has been designed to reveal problematic data early and let the intepreter take immediate corrective actions before moving on to more complex workflows.With Blueback Rocks Velocity 2.0 depth conversion of large 3D volumes is scalable with your hardware, making it several times faster than normal Petrel on your PC.
Reservoir Characterization Software's-The Blueback Seismic Reservoir Characterization suite provides a simple, yet effective method to estimate net pay in thin reservoirs.The workflow is fast, highly interactive and easy to use. Seismic Net Pay workflow for predicting net pay from seismic data in thin reservoirs.
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Estimate net pay from zero-crossing picks made on band-limited impedance seismic data.the best workflow i had. Ever worked with.Geo Elsayed Fathy. Create precise geological models-The JewelSuite™ Subsurface Modeling application is an innovative, powerful tool to quickly create precise geological models—regardless of the reservoir’s structural complexity—in half the time as traditional solutions. This modeling tool can seamlessly transfer into any industry standard simulator.
Reservoir models can be updated and modified easily with new well information or alternative geological scenarios to optimize field development plans and drive greater production. Modelling investment of time:-Perhaps the biggest, and most difficult, time element to estimate in building a model is data input/transfer, QC and clean-up.Experience suggests that 30–60% of time in a modelling project could be spent on these steps. Some consultants have identified this as a significant problem, and not only for geocellular modelling, and that they are required to spend time keeping their database clean and consistent.
This investment of time and effort always pays a good dividend in the end. The four important issues in model design:-1. Is the field architecture understood in a way that can bereadily translated into a reservoir model?2. Are the correct structural and sedimentological elements.of the field identified to achieve the model objectives?3. Is the conceptual model carried through intuitively intothe statistical component of the model?4.
Is the balance between determinism and probability fullyunderstood and is the conceptual model honoured in thedeterministic model elements? Reservoir Model-Surrogate Reservoir Model:-SRM is developed to address the ever growing need in the oil and gas industry to perform accurate, but high speed simulation and modeling. Unlike conventional geo-statistical approaches (response surfaces, proxy models ) that require hundreds of simulation runs for development, SRM is developed only with a few (from 10 to 30 runs) simulation runs. SRM can be developed regu. Larly (as new versions of the full field model become available) off-line and can be put online for real-time processing to guide important decisions.
SRM has proven its value in the field. An SRM was developed for a giant oil field in the Middle East. The model included about one million grid blocks with more than 165 horizontal wells and took ten hours for a single run on 12 parallel CPUs. Using only 10 simulation runs, an SRM was developed that was able to accurately mimic the behavior of the reservoir simulation model. Performing a comprehensive reservoir analysis that included making millions of SRM runs, wells in the field were divided into five clusters.
It was predicted that wells in cluster one & two are best candidates for rate relaxation with minimal, long term water production while wells in clusters four and five are susceptive to high water cuts.Two years and 20 wells later, rate relaxation results from the field proved that all the predictions made by the SRM analysis were correct. While incremental oil production increased in all wells (wells in clusters 1 produced the most followed by wells in cluster 2, 3 ) the percent change in average monthly water cut for wells in each cluster clearly demonstrated the analytic power of SRM. As it was correctly predicted, wells in clusters 1 and 2 actually experience a reduction in water cut while a substantial increase in water cut was observed in wells classified into clusters 4 and 5. Performing these analyses would have been impossible using the original full field simulation model. In to Geo science (EMERGE)-Emerge is a geostatistical, attribute prediction module that can predict property volumes using well logs and attributes from seismic data. The predicted properties can be any log types available, such as porosity, velocity, density, gamma-ray, lithology and water saturation.
Emerge can also be used to predict missing logs or parts of logs by using existing logs that are common to the available wells.Multi-At. Tribute Analysis:-Using multi-linear regression or neural network analysis, Emerge trains itself at the well locations to learn the optimum transform that relates the logs and seismic data.
It then applies that transform to derive a volume of the log property from the seismic volume(s). Fracture Modeling and SIGMA³- When modeling unconventional and fractured reservoirs, SIGMA³ relies on simultaneous use of multiple seismic attributes.
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A proprietary neural network is used to find a relationship between the reservoir properties and the multitude of seismic attributes available, which are then ranked to identify the attributes that are directly correlated with reservoir, geologic and rock properties.- Stochastic i. Nversion is used to further enhance the resolution of our geologic models by integrating well log data with the enhanced seismic resolution provided by our broadband spectral inversion tools. The result is a detailed variation of reservoir properties needed to capture the effects of reservoir heterogeneity on fluid flow.- Continuous Fracture Modeling (CFM™) technology allows us to combine derived seismic attributes and geologic models to closely estimate the distribution of the natural fracture density of the reservoir. Such information has been tested successfully by the drill bit.When pre-stack seismic data are available, the results of using our workflow are enhanced by estimating key elastic properties to derive brittleness, as well as other petrophysical properties, such as gamma ray and porosity generated through our Extended Elastic Inversion (EEI) method. In to Geo science-Automated Geo-scientific Analyses-SAGA – System for Automated Geoscientific Analyses – is a Geographic Information System (GIS) software with immense capabilities for geodata processing and analysis. SAGA is programmed in the object oriented C language and supports the implementation of new functions with a very effective Application Programming Interface (API). Functions are organis.
Ed as modules in framework independent Module Libraries and can be accessed via SAGA’s Graphical User Interface (GUI) or various scripting environments (shell scripts, Python, R, ). In to Geo science (StratEarth)- -An option-packed well log correlation solution.
The Paradigm® StratEarth® well log correlation application is a comprehensive, easy-to-use solution for the correlation, interpretation, mapping, display and QC of seismic, geologic, and production data in multiple 2D and 3D environments. Possibly the most option-packed correlation system available, StratEarth offers great graphics and convenient correlatio. The multi-well, multi-log facies log calculator, combined with the sequence stratigraphy track and an easy-to-use stratigraphic column, adds substantial value to the well correlation. The abundant number of track types and data that can be displayed in a well section equals or surpasses that of any competitive offering. StratEarth benefitsApplying a stratigraphic column to wells adds a level of intelligence for controlling automatic correlation lines where adjacent wells may have missing markers.The integration of 2D and 3D seismic and geological data into well correlation view both validates and improves the quality of the subsurface model.Automatic correlation and map making enhance productivity and usability.Quick detection of inconsistencies between seismic data, petrophysical data, well markers and geologic data improves the accuracy of reserve assessments, well positioning and well schematics.
SchlumbergerTechlog2015.3Capitalize on your well investmentData acquired in wellbores is intricate, varied, and represents a significant investment. It is imperative to capitalize on that investment, whether you are working on your first deepwater exploration well or delivering a comprehensive drilling program in a shale gas play.
With the Techlog platform, you can bring all of your wellbore data into one highly intuitive application to carry out analyses. In addition to offering advanced modules for domain experts, the Techlog platform provides a solid foundation for generalist users to review and analyze the data. It supports complex workflows across multiple disciplines.Leverage advanced technology in real timeThe Techlog platform dynamically incorporates the latest data from the well site for review and detailed analysis.
Data can be streamed directly from the well site for real-time processing and instantaneous analysis as the well is drilled, aiding decision making during operations.Upscale with confidenceThe best-in-class science delivered through the Techlog platform enables analysis of all available wellbore data at its acquisition scale and enables those data to be upscaled with confidence. A petrophysicist can leverage high-resolution data to examine the orientation of fractures as well as evaluating resistive qualities of those fractures to understand fluid flow in and around the wellbore. No longer are azimuthally sensitive log measurements required to “make do” with 2D displays. The Techlog platform provides new ways of visualizing the near-wellbore formation model.Detailed 3D interpretations maximize the value of all the sophisticated data collected in modern wells. This single well model is then used to create a multiwell interpretation that provides the input to a simulation model to evaluate dynamic behavior in the reservoir.Your Answers—DeliveredBacked by the world’s largest oil and gas measurement acquisition company, the Techlog platform is used extensively to process, interpret, and prepare answer products for you.
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By working in the same software, these answers can be delivered faster, with more contextual information, and with complete transparency.Today, more technology than ever before is coming to the platform—enabling you to do more, with greater efficiency and automation to maximize the value of any oilfield measurement.