A method for making changes to a salt model are described. In particular, an algorithm allows a user to interactively edit a salt model to reflect migrated seismic data to improve model accuracy without having to select horizons that overlap or are sealed or decrease the resolution of the horizons. Instead, sealed horizon pairs are automatically generated from the edited data using a new algorithm.

An acoustic logging method includes obtaining first horizontal transverse isotropy (HTI) angles resulting from a time domain HTI algorithm. The method further includes obtaining one or more second HTI angles resulting from a frequency domain HTI algorithm. The method further includes generating a first HTI anisotropy log including a relative angle log based on the first and second HTI angles. The method further includes generating a first color map of the first HTI anisotropy log and displaying the first color map.

A computing device can use a support vector machine to categorize well data as being associated with a noise event or a microseismic event. For example, the computing device can determine well data based on sensor signals from a sensor in a wellbore. The computing device can then use the support vector machine to categorize the well data as being associated with a noise event or a microseismic event.

Visually enhancing a geological feature in 3D seismic survey data may include selecting a first seismic trace from a 3D seismic survey dataset. Said first seismic trace is subdivided into a plurality of identified characteristic segments. At least one first analytical model function is generated for each of said plurality of identified characteristic segments. At least one adapted wavelet from an existing dictionary is utilized. A matching characteristic is determined between said first seismic trace and said at least one first analytical model function. Said at least one first analytical model function is optimized with respect to said matching characteristic. Both determining a matching characteristic, and optimizing said at least one first analytical model function, are repeated until a predetermined condition is met. A model dataset is generated from said optimized at least one first analytical model function for at least part of said first seismic trace for visual representation.

In some examples, a system may receive log data including a depth-series of data for a sensed parameter. The system may determine a parameter value of the depth series data for individual subunits of depth corresponding to a larger unit of depth. The system may further determine a scale of graphic effects corresponding to parameter values for the depth-series data. The system may present, on a display, a visualization of the depth-series data. For instance, the visualization may include a plurality of cells arranged in a plurality of rows, with each cell corresponding to the larger unit of depth and including a plurality of subcells corresponding to the subunits of depth. Additionally, each subcell may be presented with a respective graphic effect corresponding to the parameter value determined at a corresponding depth, and the graphic effect may correspond to the parameter value on the scale of graphic effects.

Embodiments of using known source locations in seismic data processing are disclosed. In one embodiment, a method of locating a seismic event includes receiving location information for a plurality of known source events proximate the seismic event, and determining an estimated location of the seismic event using a relative locator constrained by the location information for the plurality of known source events.

A memory-efficient Q-RTM computer method and apparatus for imaging seismic data is described. A seismic image may be formed from a memory-efficient Q-RTM module utilizing received attenuated seismic data. Seismic data is processed by the memory-efficient Q-RTM module to compensate for amplitude attenuation and phase velocity dispersion simultaneously during back-propagation in RTM. A negative quality factor, Q, is obtained by modifying the wave equation to compensate for amplitude attenuation. One or more dispersion optimization terms introduced to a wave equation for compensation of Q effects on the phase, solved by a finite difference algorithm, compensate for phase velocity change and further adjust amplitude attenuation compensation.

A method and apparatus for cloud-based oil and gas well monitoring. The solution comprises a concentrator located electrically on the input side of an artificial lift drive motor or pump, and measures single or three-phase voltage, current and power. The concentrator includes a communication means, antenna, power supply, microprocessor, and voltage and current transducer means. The concentrator sends status and measurement information to the server system. The server system processes and stores concentrator data, and provides a web interface for a user to view live data, analyze graphs and reports, view a map-based UI showing overall status of devices and wells, and configure alerts based on conditions. An aspect adds a Smart Artificial Lift Receiver that interfaces with various sensors, and connects to a concentrator through an interface. The augmented concentrator links with the smart pump concentrator, processing the sensor data similarly to the voltage and current data already measured.

A device, system, and method for displaying seismic image data may include computing, from a wide-azimuth data set, a discrete data set associated with an image function at a seismic image point. The discrete data set may be mapped onto a continuous curved three-dimensional surface. The mapped data set may be projected onto a continuous planar surface. The projected data may be displayed as a planar disk. A plurality of continuous planar surfaces, each representing a single image point, may be assembled to form a three-dimensional body, representing a seismic gather of image points. The three-dimensional body may be displayed. Other embodiments are described and claimed.

This disclosure describes processes and systems for generating a high-resolution velocity model of a subterranean formation from recorded seismic data gathers obtained in a marine seismic survey of the subterranean formation. A velocity model is computed by iterative FWI using reflections, resolving the velocity field of deep subterranean targets without requiring ultralong offsets. The processes and systems use of an impedance sensitivity kernel to characterize reflections in a modeled wavefield, and then use the reflections to compute a velocity sensitivity kernel that is used to produce low-wavenumber updates to the velocity model. The iterative process is applied in a cascade such that position of reflectors and background velocity are simultaneously updated. Once the low-wavenumber components of the velocity model are updated, the velocity model is used as an input of conventional FWI to introduce missing velocity components (i.e., high-wavenumber) to increase the resolution of the velocity model.