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Phase decomposition is an interesting technique that can decompose a composite seismic signal into different phase components, and which in turn can help with the characterization of thin target sandstone or carbonate reservoirs. Here we discuss the application of phase decomposition as a reservoir management tool, with the odd phase component (sum of plus 90 degrees and minus 90 degrees phase components) showing better correlation with the wells that control the injection and withdrawal of a natural gas storage reservoir in Denmark.
For Colombia’s National Hydrocarbon Agency and national oil company Ecopetrol, now is the perfect time to seek opportunities in a country providing diverse geological potential, a prepared workforce and contractual stability. They believe that Colombia is that country, and they are prepared to make their case as principal sponsors and hosts of AAPG’s International Conference and Exhibition taking place in Cartagena April 19-22.
Crossplotting is widely used in AVO analysis because it facilitates the simultaneous and meaningful evaluation of two attributes. Generally, common lithology units and fluid types cluster together in AVO crossplot space, allowing identification of background lithology trends and anomalous off-trend aggregations that could be associated with hydrocarbons. Interactive crossplots allow the interpreter to visualize the relationship between different well log properties or between different seismic attributes.
Shell has made a significant oil and gas discovery at the Graff-1 well offshore Namibia. The well results have so far shown at least two reservoirs in the Upper Cretaceous, with a light oil column reported in the Santonian, in high quality channel sands. This discovery is in the deep water of the southernmost sector of the Orange Basin offshore Namibia.
Phase decomposition is a novel technique that decomposes a composite seismic signal into different phase components, which can improve reservoir characterization. The technique is particularly useful in those areas where thin-bed interference causes the phase of the input seismic response to differ from the phase of the embedded wavelet in the data.
The estimated hydrocarbon reserves around the world, when produced, can keep us going for the next several decades. But scientific records and our own experiences are enough evidence that climate change is indeed happening. Addressing it requires energy extraction from non-fossil fuels. One such resource is the natural heat of the Earth, or geothermal energy.
Coming Soon to a Theater Near You: AAPG Member Glen Penfield’s life-changing discovery of the Chicxulub asteroid crater is the subject of a new movie.
Fault interpretation on seismic data has always been a laborious task, especially for large 3-D seismic volumes. Whereas horizon autopicking has advanced significantly during the past three decades, automated seismic fault interpretation lags behind. Fortunately, recent applications of artificial intelligence (deep learning) processes for identifying faults provide significant promise for the future.
Seismic inversion for acoustic impedance is widely used in our industry today, mainly due to the ease and accuracy of interpretation of impedance data, but also because it allows an integrated approach to geological interpretation. In a series of three prior articles of Geophysical Corner, the application of the different methods for transformation of stacked, prestack and multicomponent seismic data into impedance data were described. In this month’s column we revisit one of the methods, namely colored inversion, to describe in detail the methodology entailed and its application to a seismic dataset from Denmark.
As geoscientists, we are predisposed to associative thinking. Trained for pattern recognition by our education and experiences, we have learned to recognize familiar elements in a new dataset and integrate those pieces of information into a subsurface geological model. However, this learning system is usually biased and most of the time we are unaware of it. With the increasingly common use of machine learning in our workflows to bolster human interpretation, we must become increasingly aware of our biases, so that they they can be minimized as we train the algorithms. Herein is a case study and bias discussion from the Ceará Basin in Brazil, where deep convolutional neural networks are used to aid in the petrophysical analysis and volumetric assessment of a potential reservoir.
This presentation is designed for exploration/production geologists and geological managers or reservoir engineers.
This presentation will show where there are cases of missing sections, but none of them can be attributed to normal faulting.
The presentation describes a well established fracture modeling workflow that uses a standard 3D seismic, conventional logs, image logs and data from one core to build predictive 3D fracture models that are validated with blind wells.
The presentation will focus on hydraulic fracture geometry in shales, the materials used in the fracturing process, and treatment monitoring via microseismic.
The Eagle Ford Shale in South Texas is one of the more exciting shale plays in the United States at the current time.
The entire Middle Pennsylvanian–to–top Precambrian basement (500 m) interval was cored in early 2011 in the BEREXCO Wellington KGS #1-32 well in Wellington Field, Sumner County, KS.
Effective hydraulic fracture stimulation is critical for shale development, and microseismic is the only technology able to map the growth of these hydraulic fracture networks.
Thulisile Sopete explores the sedimentary evolution of the Pletmos Basin. The Pletmos Basin is a sub-basin of the greater Outeniqua Basin, is located off the south coast of South Africa and is bounded by the Bredasdorp Basin to the west, the Gamtoos Basin to the east and the Southern Outeniqua Basin to the south.
The approach applied in the analysis for this study was based on five selected seismic transects which were interpreted using seismic stratigraphy. These interpretations were incorporated along with composite logs analysis for their respective wells to provide the framework in understanding how the Pletmos Basin evolved sedimentologically.
This e-symposium will provide information on which tools, processes, and procedures all geoscientists, engineers, and technical professionals working in shale plays need to understand and implement.
Join two GIS/geoscience experts Scott Sires and Gerry Bartz as they use information from the Teapot Dome Field in Wyoming (DOE/RMOTC program).
Around 170 million years ago, the Gulf of Mexico basin flooded catastrophically, and the pre-existing landscape, which had been a very rugged, arid, semi-desert world, was drowned beneath an inland sea of salt water. The drowned landscape was then buried under kilometers of salt, perfectly preserving the older topography. Now, with high-quality 3D seismic data, the salt appears as a transparent layer, and the details of the drowned world can be seen in exquisite detail, providing a unique snapshot of the world on the eve of the flooding event. We can map out hills and valleys, and a system of river gullies and a large, meandering river system. These rivers in turn fed into a deep central lake, whose surface was about 750m below global sea level. This new knowledge also reveals how the Louann Salt was deposited. In contrast to published models, the salt was deposited in a deep water, hypersaline sea. We can estimate the rate of deposition, and it was very fast; we believe that the entire thickness of several kilometers of salt was laid down in a few tens of thousands of years, making it possibly the fastest sustained deposition seen so far in the geological record.
Request a visit from Frank Peel!
Three-dimensional (3D) seismic-reflection surveys provide one of the most important data types for understanding subsurface depositional systems. Quantitative analysis is commonly restricted to geophysical interpretation of elastic properties of rocks in the subsurface.
Wide availability of 3D seismic-reflection data and integration provide opportunities for quantitative analysis of subsurface stratigraphic sequences. Here, we integrate traditional seismic-stratigraphic interpretation with quantitative geomorphologic analysis and numerical modeling to explore new insights into submarine-channel evolution.
Request a visit from Jacob Covault!
In comparison with the known boundary conditions that promote salt deformation and flow in sedimentary basins, the processes involved with the mobilization of clay-rich detrital sediments are far less well established. This talk will use seismic examples in different tectonic settings to document the variety of shale geometries that can be formed under brittle and ductile deformations.
Request a visit from Juan I. Soto!
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