... are then averaged to obtain a single noiseless synthetic seismic data. Fig 2 shows the 1D labelled synthetic dataset which consists of synthetic seismograms as the input into the network and the corresponding pseudo porosity and Vclay logs as the outputs. For this study, we have generated 40,000 realizations...

...Seismic Data Re-Interpretation and Volumetrics Review Impact The impact of 3D seismic data interpretation on the reservoir profile can be demonstrated by the UtoR F1.0 top structure map (pre- and post-3D Seismic) – see Figures-3a and 3b . The sand is made of two structural highs...

.... The integrated modeling approach ensures that 4D Seismic in subsurface CO 2 plume monitoring is robust. Monitoring pressure build-ups from MAZ surface seismic and 3D DAS-VSP will reduce the associated risks. reservoir geomechanics amplitude response seismic data enhanced recovery plume migration...

... Abstract Seismic data is a main source of information for lateral forecast of lithofacies. No one can deny that seismic data is a useful method to determinate structure of prospects. However, we have to accept to urgent need to implement steps that will make possible to predict distribution...

... of the geomechanical processes of fault formation. For the digital twin constructed, we performed full-scale 3D seismic modeling, which made it possible to conduct fully controlled numerical experiments on the construction of wave images and, on this basis, to propose an optimal seismic data processing graph...

... of reservoir simulation models to production and 4D seismic data. The goal of developing the workflows is to increase the utilization of data from 4D seismic surveys for reservoir characterization. The qualitative and quantitative workflows are presented, describing their benefits and challenges. The data...

.... To obtain improved vertical resolution, seismic prestack depth-migrated (PSDM) data are input to amplitude variation with offset (AVO) inversion, for an area in the Delaware Basin where wide-offset 3D seismic data are available. AVO inversion provides estimates of both P- and S-impedance. The results...

... Abstract This study aims to reduce uncertainties related to non-uniqueness in the interpretation of competing 4D effects and their impact to the interpretations and data assimilation into reservoir models. The study is based on synthetic and observed 4D seismic data, tracers, laboratory...

... Abstract Horizons in a seismic image are geologically signficant surfaces that can be used for understanding geological structures and stratigraphy models. However, horizon tracking in seismic data is a time consuming and challenging task. Saving geologist's time from this seismic...

... between seismic attribute values from a 3D seismic survey and petrophysical properties from well logs. Such relationships and models can be further used for the optimization of exploration and production operations. 3D seismic data can be used to extract various seismic attribute values at all locations...

... of the licensees wouldthen get the benefit of the seismic data where it was needed at a fraction of the cost of proprietary acquisition. Lately the use of high-quality 3D seismic integrated with reservoir, completion and production data is used tolowerdrilling risks, high grade acreage and quantify the extent...

... Abstract Permanent Reservoir Monitoring (PRM) in systems deep-water settings provide on-demand snapshots for hydrocarbon reservoirs at different times during their production history. Delays in the interpretation turn-around of 4D seismic data reduce some benefits of the PRM. These delays could...

... pressures . By correlating these with other information, in particular seismic data, the risk of geo-drilling hazards in a planned well can be assessed. For example; it appears that 65% of the (strong) overpressures observed in de Zechstein formation are linked to the Platten dolomite member. This unit can...

.... It is found that the nonlinearity of the onset time method can be smaller than that of the amplitude inversion method by several orders of magnitude. Artificial Intelligence petro-elastic model saturation front inversion method seismic data onset time approach nonlinearity sensitivity analysis...

.... machine learning Reservoir Characterization history matching simulation model uncertainty reduction production data case study Artificial Intelligence Upstream Oil & Gas saturation change OOIP workflow reservoir model Modeling & Simulation seismic data information probabilistic...

... reservoir seismic data shale reservoir thickness geological concept petrophysics society of petroleum engineers geological model Upstream Oil & Gas property change petrophysical interpretation resistivity LWD data information vertical well Introduction In last years quantity...

...), there is a heightened demand for reliable automated workflows to assist feature interpretation from seismic data. We present a novel data-driven tool for fast fracture identification in BIG post-stack seismic datasets, motivated by techniques developed for real-time face detection. The proposed algorithm computes...

... analytics, training of a system on the reference objects. 3D seismic data is a classic example of Big Data. Their interpretation conventionally involves approaches based on Neural Networks, various classification and clustering algorithms /2/ . According to the experts, the West Siberian Petroleum Basin...

... Abstract The integration of seismic data into high-resolution geological model, provides great potential for calibrating reservoir parameters, which enables better understanding of the reservoir sweep and flow patterns. The efficacy of seismic inversion method based on the travel time of fluid...

... Abstract We present a novel and efficient approach to integrate frequent time lapse (4D) seismic data into high resolution reservoir models based on seismic onset times, defined as the calendar time when the seismic attribute crosses a pre-specified threshold value at a given location. Our...