The present disclosure is directed to detecting subsurface features via a seismic survey. A system can obtain seismic data from nodes separated from each other by at least a threshold distance on a ground surface. The seismic data can include image trace data based on field trace data detected from each of the plurality of seismic data acquisition units. The system retrieves a sample interval and a parameter. The system configures a bandlimited binning function with the sampling interval and the predetermined parameter. The system applies the bandlimited binning function to a plurality of image traces of the image trace data to generate a bandlimited angle gather value for a bin in an angle gathers grid. The system generates an image based on the angle gathers grid and provides the image for display.

A method for imaging non-specular seismic events as well as correlating non-specular events with physically measurable quantites in a volume of Earth's subsurface. Includes entering as input to a computer signals detected by a plurality of seismic sensors disposed above and/or within the volume in response to actuation of at least one seismic energy source above and/or within the volume. Parameter analysis is performed to populate the initial model with point-wise, best-fit wavefront travel-time approximations. Imaging is performed to obtain undifferentiated specular and non-specular representations of the volume. Specular boundaries are mapped using the imaged volume and using the boundaries to form a model of specular components of the volume. Beamforming is used to characterize seismic attributes associated with specular and non-specular reflections as separate and differentiated data sets.

A method can include receiving a request for cloud resources where the cloud resources include frameworks where the frameworks include a seismic interpretation and earth model framework; processing the request; accessing at least one of the frameworks as executing on at least a portion of the cloud resources; generating a result responsive to the accessing; and transmitting the result.

A method can include defining a two dimensional grid of cells for a region associated with a geologic environment, assigning directions to at least some of the cells, tracing a first set of trajectories with respect to the grid based on the directions, determining a first set of scalar field values based on the first set of trajectories, rotating the directions, tracing a second set of trajectories with respect to the grid based on the rotated directions, determining a second set of scalar field values based on the second set of trajectories, outputting a map based on the first set of scalar field values and the second set of scalar field values and applying the map to map a spatially distributed variable in the region associated with the geologic environment. Various other apparatuses, systems, methods, etc., are also disclosed.

Methods and systems are disclosed. The method includes determining a seismic acquisition grid for a seismic survey, composed of a first receiver grid, a second receiver grid, and a source grid, deploying a first plurality of seismic receivers according to the locations of the first receiver grid, and a second plurality of seismic receivers according to locations of the second receiver grid, and activating a seismic source at location based on the source grid. The method further includes recording a first seismic dataset using the first plurality of receivers and a second seismic dataset using the second plurality of receivers, and generating a velocity model using a velocity analysis method based on the first seismic dataset. The method still further includes forming a seismic image based on the velocity model and the second seismic dataset; and determining a location of a hydrocarbon reservoir based on the seismic image.

Methods and apparatuses are disclosed that assist in correlating subsequent geophysical surveys. In some embodiments, geophysical data may be generated including a first set of data from a monitor survey that is matched with a second set of data from a baseline survey. An attribute value may be generated for each datum in the first set of data and each attribute value generated may be stored with its corresponding datum. Then, the first set of data may be processed based on the stored attribute values. In some embodiments, the attribute values may be based upon the geometric closeness of sources and receivers in the baseline and monitor surveys.

The present disclosure relates to a method of processing seismic signals comprising: receiving a set of seismic signals, applying a wavelet transformation to the set of signals and generating transformed signals across a plurality of scales. Then for each scale determining coherence information indicative of the transformed signals and generating a comparison matrix comparing the transformed signals, then outputting seismic attribute information based on combined coherence information.

Systems and methods of detecting marine seismic survey parameters are provided. A data processing system can obtain seismic data from seismic data acquisition units disposed on a seabed responsive to an acoustic signal propagated from an acoustic source through a water column. The data processing system can determine from the seismic data, a direct arrival time for the acoustic signal at each of the plurality of seismic data acquisition units, and can obtain an estimated depth value of each of the plurality of seismic data acquisition units and an estimated water column transit velocity of the acoustic signal. The data processing system can apply a depth model and a water column transit velocity model to the estimated depth value and to the estimated water column transit velocity determine an updated depth value and an updated water column transit velocity for each of the plurality of seismic data acquisition units.

A method is described for predicting fault seal from a digital pre-stack seismic image including defining a window based on the at least one fault surface; calculating, via the computer processor, a seismic amplitude vs reflection angle (AVA) pattern at each spatial location on the at least one fault surface by obtaining a median value of all amplitudes within the window centered on the spatial location for a given reflection angle, and repeating the calculating for each angle in the digital pre-stack seismic image to create a complete AVA pattern along the fault surface; evaluating the complete AVA pattern along the fault surface to generate a predicted fault seal; and identifying geologic features based on the predicted fault seal. The method may be executed by a computer system.

A method for evaluating or improving performance of a drilling operation comprises, during the drilling operation, receiving a performance parameter of a component of a drilling system measured by a sensor of the drilling system. The measured performance parameter is compared to a target performance parameter of the component of the drilling system. The target performance parameter comprises a performance parameter of a prior drilling operation measured under substantially similar drilling conditions and measured at at least one of substantially a same drilling depth, substantially a same depth percent, and substantially a same drilling time. A performance attribute value is determined by calculating a normalized, weighted average difference between the measured performance parameter and the target performance parameter.