Abstract: Computing systems and methods for geosciences collaboration are disclosed. In one embodiment, a method for geosciences collaboration includes obtaining a first set of geosciences information from a first computer system of the plurality of computer systems; distributing the first set of geosciences information from the first computer system to at least a second computer system; receiving a user input from the second computer system of the plurality of computer systems, the user input entered manually by a user; providing the user input to the first computer system; in response to providing the user input to the first computer system, receiving a revised set of geosciences information from the first computer system; and repeating the receiving a user input, the providing the user input, and the receiving the revised set of geosciences information until the revised set of geosciences information is determined to satisfy accuracy criteria.

Abstract: A seabed object detection system is provided. The system can include a receiver array. The receiver array can include a plurality of receivers disposed on a plurality of streamers. The plurality of streamers can include a central port side streamer, a central starboard side streamer, an auxiliary port side streamer and an auxiliary starboard side streamer. The system can include a source array. The source array can include a plurality of sources. The plurality of sources can include a central port side source, a central starboard side source, an auxiliary port side source, and an auxiliary port side streamer.

Abstract: Described is a system for semantically grounded video generation. In operation, the system receives a raw video frame of a scene from one or more sensors on an autonomous platform and then encodes the video into a low-dimensional representation of the scene. The low-dimensional representation is then decoded and fed into a controller model for the autonomous platform. Semantic concepts are extracted and then fed into a world model to predict state and action dynamics of the autonomous platform. A raw observation space is then fed into discriminator networks that operate on frames and videos to determine between real and synthetically generated content. The generative capability of one or more encoders and decoders are modified such that the discriminator networks are unable to distinguish between real and synthetically generated content. Finally, the system recursively generates semantically grounded videos using a conjunction of the world model and controller model.

Abstract: Geologic modeling methods and systems are provided with a novel log segmentation approach and an improved conditioning technique for fitting geobody templates to associated well segments in multiple wells. One illustrative geologic modeling method embodiment includes: deriving a sequence of well segments from each logged well in a region of interest; associating well segments from different wells to form sets of associated well segments; populating a region of interest with geobodies by fitting a parameterized geobody template to each set of associated well segments; using the geobodies to specify a volumetric distribution of formation properties throughout the region of interest; and providing the volumetric distribution as a geologic model suitable for evaluating one or more well placement and production strategies.

Abstract: A long-offset acquisition system includes a source vessel; a signal source coupled to the source vessel; and a long-offset streamer coupled to a survey vessel and including an aft-most receiver, an offset of the aft-most receiver being at least 12 km. A long-offset acquisition method includes towing a signal source with a source vessel; towing a first long-offset streamer with a survey vessel; and acquiring data with receivers of the first long-offset streamer. A long-offset acquisition method includes towing a signal source with a first survey vessel; towing a long-offset streamer with a second survey vessel, the long-offset streamer having a plurality of receivers; actuating the signal source while an offset between the signal source and at least one of the plurality of receivers is at least 15 km; and acquiring data with receivers of the long-offset streamer.

Abstract: The techniques described herein relate to computerized methods, systems and non-transitory computer-readable media for determining a plurality of regions of interest from an image of a scene for motion detection. The methods can include generating the regions of interest using image segmentation techniques and receiving user selection to designate one or more regions as motion detection zones. The methods can also automatically recommend motion detection zones. The methods can include subsequently capturing one or more images of a scene and performing motion detection in the one or more images of the scene using the designated motion detection zones.

Abstract: A method for processing seismic data includes receiving seismic data comprising seismic traces collected from a land-based or marine seismic array, applying a noise mitigation process to the seismic data to generate a first stack volume, identifying, using a machine-learning algorithm, one or more traces of the seismic traces as having a relatively high residual noise, after applying the noise mitigation process, in comparison to other traces of the seismic traces, mitigating noise in the one or more identified traces, and performing a wavefield reconstruction to generate a second stack volume after mitigating the noise in the one or more traces after mitigating the noise in the one or more identified traces, to interpolate a portion of the wavefield corresponding to where the one or more identified traces were located and mitigated.

Abstract: A method including obtaining, by a computer processor, at least one key log in each of a set of training wells located, at least partially, within a hydrocarbon reservoir, identifying a target formation bounding surface in each of the set of training wells, and generating an initial depth surface for the target formation bounding surface from the target formation bounding surface in each of the set of training wells. The method further including, determining from the initial depth surface an initial depth estimate of the target formation bounding surface at a location of a current well, forming an objective function based, at least in part on a correlation between each key log in each of the set of training wells, and each corresponding key log in the current well, and optimizing the objective function by varying a depth shift between each of the set of training wells and the current well, to determine an optimum depth shift that produces an extremum of the objective function.

Abstract: A method for seismic processing includes extracting, using a first machine learning model, one or more seismic features from seismic data representing a subsurface domain, receiving one or more well logs representing one or more subsurface properties in the subsurface domain, and predicting, using a second machine learning model, the one or more subsurface properties in the subsurface domain at a location that does not correspond to an existing well based on the seismic data, the one or more well logs, and the one or more seismic features that were extracted from the seismic data.

Abstract: A system and method detect an evolving sinkhole due to displacement and pose changes of a plurality of nodes distributed geographically. The system comprises a base station, a plurality of nodes, and a user device. The plurality of nodes are distributed geographically, with each node secured into the ground on the Earth's surface. A sensor senses a state of the nodes relative to the ground, including a displacement and pose changes of the nodes relative to the ground. The sensed states of the nodes used to generate a geophysical map of the ground, including the displacement and the pose change of at least one node due to an evolution of a sinkhole. An output device is configured to display the geophysical map and the sinkhole to a user.

Abstract: A method and system for generating and displaying a low frequency model for a seismic survey region are provided. The method and system may include defining a seismic survey geometry of the seismic survey region; processing seismic data to generate a stacked seismic data and well log data to obtain elastic attributes; importing stacked seismic data and processed well log data into the defined seismic survey geometry; generating envelope data using the stacked seismic data; generating a low frequency trace for each well; calculating a least-squares optimized coefficient model at each well location based upon the generated envelope data and the low frequency trace for each well; interpolating the coefficient model to the seismic survey geometry using a covariance technique and the imported stacked seismic data; and generating a three-dimensional low frequency model by inversion using the envelope data and the interpolated coefficient model for display.

Abstract: A method may include obtaining an input gather regarding a geological region of interest. The method may further include obtaining parameterization data regarding a seismic processing operation. The parameterization data may correspond to a first set of process parameter values that are different from a second set of process parameter values that are used to generate the input gather. The method may further include generating a predicted output gather using a machine-learning model, the input gather, and the parameterization data. The machine-learning model may include an encoder model and a decoder model. The method may further include generating a seismic image of the geological region of interest using the predicted output gather.

Abstract: The invention described herein relates to a process for improving reporting of operational data of a wind turbine during operation thereof and a system for carrying out the process which may include a computer program for carrying out the process.

Abstract: The present disclosure relates to a method and system for monitoring a wellbore object using a reflected pressure signal. The method discloses providing at least one pump for performing hydraulic fracturing or a source of hydraulic pulse so that pressure signal propagates along the wellbore and reflects from the borehole objects; providing pressure sensor at wellhead; preprocessing of registered reflected pressure signal and pump noise; transforming the registered reflected pressure signal and pump noise from the frequency domain into time-frequency representation with Short Time Fourier Transform (STFT), computing a pump noise mask; applying the pump noise mask to the STFT representation to obtain a filtered reflected pressure signal; processing of the filtered reflected pressure signal for determining the reflection time from the downhole object, calculating the depth of the downhole object from reflected pressure signal by multiplying of the reflection time by the pressure signal propagation velocity.

Abstract: Systems and methods for automatically tracking multi-Z horizons within seismic volumes are provided. A surface from a plurality of surfaces identified at different depths for a multi-Z horizon within a seismic volume is selected. A seed point corresponding to the selected surface is determined. The selected surface is tracked over new data points through the seismic volume. Tracking each new data point involves comparing a depth of the new data point with depths associated with other surfaces and determining whether the depth of the new data point honors a geological boundary rule for maintaining a relative depth position of each of the plurality of surfaces within the multi-Z horizon, based on the comparison. When the depth of the new data point honors the rule, the selected surface is extended to include the new data point and, when it does not, the new data point is discarded.

Abstract: An induced earthquake evaluation method for hydraulic fracturing activated faults includes obtaining an induced earthquake evaluation unit, cumulative injection equivalent energy, induced earthquake probability of fault type, induced earthquake probability of fault distance, hydraulic fracturing fluid diffusion capacity in fractured formation, new effective fault stress after fracturing, formation fluid pressure change rate and cumulative released equivalent energy. The probability of induced earthquake by hydraulic fracturing can be obtained. The induced earthquake possibility of each evaluation unit or single well under different stages of hydraulic fracturing, different construction injection methods and production conditions can be quantitatively evaluated. The method provides a quantitative result that can provide data support for optimizing hydraulic fracturing and reducing induced earthquake hazards.

Abstract: Embodiments relate to data acquisition units or nodes and more specifically to seismic data acquisition units or nodes for use in data gathering for ambient noise tomography (ANT). Some embodiments relate to a method for data acquisition, and systems employing one or more data acquisition units. Some embodiments relate to systems comprising one or more satellites in communication with one or more data acquisition units for communication to a remote server, for remote storage, and processing for creating sub-surface tomography images accessible to client devices.

Abstract: Provided herein are systems and methods for generating reservoir models including the SOC nature of the Earth's crust. The methods employ seismic emission tomography (SET) to generate three dimensional models of a formation providing permeability without the need for traditional reservoir modeling techniques and allowing for the identification of naturally-occurring permeability pathways that provide accurate and precise locations for the efficient recovery of hydrocarbons or other fluids.

Abstract: An earthquake event classification method using an attention-based neural network includes: preprocessing input earthquake data by centering; extracting a feature map by nonlinearly converting the preprocessed earthquake data through a plurality of convolution layers having three or more layers; measuring importance of a learned feature of the nonlinear-converted earthquake data based on an attention technique in which interdependence of channels of the feature map is modeled; correcting a feature value of the measured importance value through element-wise multiply with the learned feature map; performing down-sampling through max-pooling based on the feature value; and classifying an earthquake event by regularizing the down-sampled feature value. Accordingly, main core features inherent in many/complex data are extracted through attention-based deep learning to overcome the limitations of the existing micro earthquake detection technology, thereby enabling earthquake detection even in low SNR environments.

Abstract: A method and system for picking first-break times for a seismic dataset are disclosed. The method includes generating a pre-processed seismic dataset and an initial refraction velocity model from the pre-stack seismic dataset and generating a first-break energy-enhanced seismic dataset using nonlinear beamforming applied to the pre-processed seismic dataset and the initial refraction velocity model. The methods further include estimating a refined refraction velocity model from the first-break energy-enhanced seismic dataset, and generating a post-processed seismic dataset from the refined refraction velocity model and first-break energy-enhanced seismic dataset. The methods still further include, for each pre-stack trace, determining a first-break time from the post-processed seismic dataset and the refined refraction velocity model.

Abstract: One embodiment of the present invention relates to a method for performing a vehicle image reconstruction by a sensing vehicle (SV) in a wireless communication system, the method comprising: receiving a plurality of stepped-frequency-continuous-wave (SFCW) from target vehicle (TV); receiving signature waveforms in a different frequency range for the plurality of SFCWs; performing synchronization by using phase-difference-of-arrival (PDoA) based on the signature waveforms; reconstructing one or more virtual images of the TV; and deriving a real image from the one of more Virtual Image.

Abstract: A graphical user interface includes GUI elements configured for defining discretized base geometry data for a model of a physical system, receiving a first input representing a user instruction to add a perfectly matched layer to the model, receiving a second input representing the user selection of boundaries that define a base geometry, and receiving a third input representing extra geometry meshing instructions. Extra geometry line segment data is discretized representing an outward direction of a PML from the boundary according to the extra geometry meshing instructions. Weak form expressions representing a wave-related phenomena are formed based on received PML settings and physics settings parameterized using discretized base geometry data and discretized extra geometry data. Matrix data are generated based on the formed weak form expressions. A solution to a simulation of the wave-related phenomena of the model is generated based on the formed weak form expressions.

Abstract: Embodiments herein relate to a computer-implemented technique that includes generating, in a first portion of a graphical user interface (GUI), a first graphical element related to reflection seismic data of an area of interest. The technique further includes generating, in a second portion of the GUI, a second graphical element related to well structural data of the area of interest. The technique further includes generating, in a third portion of the GUI, a third graphical element that is based on the reflection seismic data and the well structural data. In embodiments, an alteration of the first graphical element or the second graphical element results in a concurrent alteration of the third graphical element. Other embodiments may be described or claimed.

Abstract: A method for offset well analysis includes receiving offset well data collected from an offset well, the offset well data including data representing a trajectory of an offset well, receiving subject well data comprising a trajectory of at least a portion of a subject well, partitioning the trajectory of the offset well into a plurality of offset well segments, partitioning the trajectory of the subject well into a plurality of subject well segments, determining a distance between at least some of the plurality of offset well segments and at least some of the plurality of subject well segments, selecting the offset well based in part on the distance, and performing an offset well analysis using the offset well and the subject well.

Abstract: Methods and systems for determining an image of a subterranean region of interest are disclosed. The method includes obtaining a seismic dataset and a geological dip model for the subterranean region of interest and determining a set of input seismic gathers from the seismic dataset. The method further includes determining a central seismic gather and a set of neighboring seismic gathers in a vicinity of the central seismic gather from the set of seismic gathers, determining a set of dip-corrected neighboring seismic gathers based, at least in part, on the set of neighboring seismic gathers and a geological dip from the geological dip model, and determining a noise-attenuated central seismic gather by combining the dip-corrected neighboring seismic gathers and the central seismic gather. The method still further includes forming the image of the subterranean region of interest based, at least in part, on the noise-attenuated central seismic gather.

Abstract: This disclosure relates to geophysical exploration and seismic imaging, and more particularly to a seismic imaging method, system, and device based on pre-stack high-angle fast Fourier transform (FFT). The method includes: acquiring seismic data acquired during seismic exploration; extracting a common shot point gather from the seismic data followed by conversion into a frequency wavenumber domain common offset gather; calculating wave propagation angles; dividing an imaging region into a first region and a second region; solving constant coefficients of the first region and the second region; performing frequency-division layer-by-layer wavefield continuation on a frequency-wave number domain common offset gather to obtain imaging results at different depths and frequencies; subjecting the imaging results to integration followed by transformation to a spatial domain to obtain common offset imaging profiles; and subjecting the common offset imaging profiles to superposition obtain final imaging results.

Abstract: Described herein are systems and methods of selecting treatment parameters values for treating skin lesions. A device may establish a treatment parameter selection model using a training dataset. The training dataset may include a plurality of examples. Each example may include a sample image of an example skin lesion to which a treatment is administered using an applicator. Each example may include a first label indicating success or failure of the treatment. Each example may include a second label corresponding to treatment parameters defining the treatment. The device may identify an input image. The device may determine that the input image corresponds to a skin lesion based on visual characteristics of the input image. The device may apply the treatment parameter selection model to the input image to output a recommended treatment to apply. The device may store an association between the input image and the recommended treatment.

Abstract: A method for extracting a downgoing wavelet and attenuation parameters from VSP data, comprising: performing upgoing and downgoing P-waves separation processing on VSP data to obtain downgoing P-wave data; performing a FFT on seismic data with a preset time window length and cut from the downgoing P-wave data to obtain FFT transformed downgoing P-wave data and a multi-trace downgoing P-wave log spectrum; subtracting a downgoing wavelet log spectrum from the multi-trace downgoing P-wave log spectrum to obtain a wavelet-corrected multi-trace downgoing P-wave log spectrum; performing a correction and an inverse FFT on the FFT transformed downgoing P-wave data to obtain a downgoing wavelet; and obtaining attenuation parameters based on P-wave first arrival time and the parameters of the wavelet-corrected multi-trace downgoing P-wave log spectrum. Also provided are an apparatus for extracting a downgoing wavelet and attenuation parameters from VSP data and a computer device.

Abstract: A method is claimed for automatically transforming sonic well logs from a depth domain to a seismic two-way travel-time domain. The method includes obtaining a training well with a measured sonic well log in the depth domain and a borehole seismic dataset in the depth domain and obtaining an application well with only a measured sonic well log in the depth domain. The method further includes training a network to predict a transformed sonic well log for the training well based, at least in part, on the measured sonic well log and the borehole seismic dataset in the training well, and predicting with the network, the transformed sonic well log in the application well.

Abstract: Methods and systems are disclosed for updating a seismic velocity model of a subterranean region of interest. The method includes receiving an observed seismic dataset and a seismic velocity model, and generating a simulated seismic dataset based on the seismic velocity model and the geometry of the observed seismic dataset, wherein each dataset is composed of a plurality of seismic traces. The method further includes determining a transformed observed seismic dataset and a transformed simulated seismic dataset by determining the instantaneous frequency of at least one member of the plurality of observed seismic traces; and at least one member of the plurality of simulated seismic traces. The method still further includes forming an objective function based on the transformed observed seismic dataset and the transformed simulated seismic dataset and determining an updated seismic velocity model based on an extremum of the objective function.

Abstract: A computer-implemented method may include obtaining seismic data acquired in a time-domain for a subterranean region of interest. The method may further include obtaining a property model for the subterranean region of interest. The method may further include determining one or more time shifts using a segment dynamic image warping function based on the seismic data and the property model. The method may further include determining an adjoint source operator using the derived time shift and one-way wave equation. The method may further include updating the property model using a gradient solver in a data-domain reflection traveltime inversion. The method may further include outputting the updated property model for the subterranean region of interest. The method may further include generating a seismic image for the subterranean region of interest using the updated property model.

Abstract: A method for verticalizing recorded seismic data, the method including recording first data with a particle motion sensor, wherein the particle motion sensor is located on a streamer, and the particle motion sensor is configured to be insensitive to a direct current, recording second data with a gravity motion sensor, wherein the gravity motion sensor is also located on the stream, and the gravity motion sensor is configured to be sensitive to the direct current and temporally synchronous to the particle motion sensor, selecting a cost function that associates corresponding values of the first data and the second data, determining a misalignment angle from maximizing the cost function, wherein the misalignment angle describes a misalignment between corresponding axes of the particle motion sensor and the gravity motion sensor, and correcting seismic data recorded by the particle motion sensor based on the misalignment angle so that the corrected seismic data is verticalized with regard to gravity.

Abstract: A method for picking first breaks on a synthetic seismic dataset for a full wavefield travel-time inversion is provided. This method includes obtaining a synthetic seismic dataset and for each synthetic trace, determining a plurality of synthetic trace amplitude maxima and minima, determining a modified energy ratio trace, and forming a trace mask based at least in part, on an amplitude of the synthetic trace and on an amplitude of the modified energy ratio trace. The method further includes determining for each synthetic trace, a positive estimated first break based on the plurality of synthetic trace amplitude maxima and the trace mask and a negative estimated first bread based on the plurality of synthetic trace amplitude minima and the trace mask. The method concludes with determining a predicted first break for each synthetic trace from the positive estimate first break and the negative estimate first break.

Abstract: The present invention discloses a three-dimensional in-situ characterization method for heterogeneity in generating and reserving performances of shale. The method includes the following steps: establishing a logging in-situ interpretation model of generating and reserving parameters based on lithofacies-lithofacies-well coupling, and completing single-well interpretation; establishing a 3D seismic in-situ interpretation model of generating and reserving parameters by using well-seismic coupling; establishing a spatial in-situ framework of a layer group based on lithofacies-well-seismic coupling, and establishing a spatial distribution trend framework of small layers of a shale formation by using 3D visualized comparison of a vertical well; and implementing 3D in-situ accurate characterization of shale generating and reserving performance parameters by using lithofacies-well-seismic coupling based on the establishment of the seismic-lithofacies dual-control parameter field.

Abstract: To obtain a global optimal navigation track, a contour line matching method based on sliding window data backtracking includes the steps of determining sliding window parameters according to the calculation performance of a real-time multi-task operating system and aided navigation precision requirements, constructing a sliding window data backtracking framework by using historical physical field value matching data, obtaining a rotation transformation matrix from an indication track point set to a closest reference point set by adopting a matrix eigenvalue and eigenvector decomposition method, and moving a sliding window and performing forward and reverse cyclic matching to achieve a global track constraint, thereby improving the matching precision and robustness.

Abstract: Methods and systems for determining a spectral ratio log using a time domain seismic image and a seismic velocity model are disclosed. The method includes determining a first mono-spectral seismic image and a second mono-spectral seismic image from the time domain seismic image. The method further includes determining a time domain spectral ratio image from the first mono-spectral seismic image and the second mono-spectral seismic image and transforming the time domain spectral ratio image into a depth domain spectral ratio image using the seismic velocity model. The method still further includes defining a wellbore path through the depth domain spectral ratio image and determining a spectral ratio log along the wellbore path from the depth domain spectral ratio.

Abstract: A method of analysing seismic data to detect possible hydrocarbons includes determining a set of data tiles from a seismic data cube of seismic data and testing each data tile in the set of data tiles to determine whether it corresponds to a possible fluid contact.

Abstract: Using machine learning for sedimentary facies prediction by using one or more logs acquired in a borehole. This includes performing a petrophysical clustering of borehole depths wherein the depths of the borehole are gathered into clusters based on similarities in the one or more logs. Also performed is a log inclusion optimization, including a selection of one or more parameters of the petrophysical clustering, wherein the one or more parameters include a number and/or type of considered logs among the one or more logs and/or a clustering method. Also performed is a classification of the clusters into core depositional facies using one or more predetermined rules.

Abstract: A gravity inversion method and system based on a meshfree method.

Abstract: A method is described for inverting seismic data including obtaining well logs representative of subsurface volumes of interest; generating an amplitude variation with angle (AVA) database from the well logs by seismic modeling, wherein the seismic modeling is performed a plurality of times for all combinations of fluid substitutions of brine, oil, and gas and low porosity, mid-porosity, and high porosity; generating a trained AVA model using the AVA database; obtaining a seismic dataset; calibrating the seismic dataset; computing seismic attributes for the calibrated seismic dataset using statistics for AVA classification; and generating direct hydrocarbon indicators as a function of position in the subsurface volume of interest by applying the trained AVA model to the seismic attributes. The method is executed by a computer system.

Abstract: Disclosed are a method and apparatus for estimating S-wave velocities by learning well logs, whereby the method includes a model formation step of forming an S-wave estimation model to output S-wave velocities corresponding to measured depth when the well logs are input based on train data sets including train data having values of multiple factors included in the well logs, the values being arranged corresponding to measured depth, and label data having S-wave velocities corresponding to measured depth as answers, and an S-wave velocity estimation step of inputting unseen data having values of multiple factors included in well logs acquired from a well at which S-wave velocities are to be estimated, the values being arranged corresponding to measured depth, to the S-wave estimation model to estimate S-wave velocities corresponding to measured depth.

Abstract: A stimulation includes an injection of a volume of fluid into a formation. A method includes obtaining a mechanical earth model of the formation, modeling a hydraulic fracture growth pattern in the formation from a stimulation of the formation, determining an increase in pressure in the formation resulting from the stimulation, and predicting whether a seismic event will occur in the formation based on the increase in pressure.

Abstract: Methods and systems for forming a three-dimensional (“3D”) seismic image of a subterranean region of interest is disclosed. The method includes obtaining a seismic dataset a seismic trace for each of a plurality of pairs of one source and one receiver location and obtaining a 3D travel-time cube for each source location and each receiver location. The method further includes dividing the seismic dataset into a plurality of seismic subsets composed of set of source locations, set of receiver locations a seismic trace for each pair of source and receiver location and the 3D travel-time cube for each source for each receiver location. The method still further includes transmitting, to a random-access memory block of a computer processing unit the seismic subset, and forming a seismic partial image based on the seismic subset, and determining the 3D seismic image based on a combination of the seismic partial images.

Abstract: Provided is an autonomous ship navigation apparatus including an acquisition unit configured to acquire a surrounding environment image, marine information, and navigation information, a map generation unit configured to generate a grid map by displaying topography, a host ship, and an obstacle corresponding to the marine information and the navigation information in the surrounding environment image, and a sailing method determination unit configured to determine a sailing method of a ship through deep reinforcement learning based on the grid map, the marine information, and the navigation information.

Abstract: Systems, computer readable, and methods concern receiving seismic data representing a subsurface volume. The method also includes determining, for the seismic data, analysis coordinates as a function of time. One or more of the analysis coordinates may vary in position over time. The method includes performing at least one of an interpolation or regularization process on the seismic data based at least partially on the analysis coordinates. The method also includes outputting a result of the at least one of the interpolation or regularization process.

Abstract: A method of using a fractalization protocol to control the operation or travel path of a vehicle during travel or flight, includes a plurality of sensors that detect the occurrence of an event or travel path deviation. A master fractal controller initiates a space-variant fractalization protocol in order to collect the input data related to the detected event. In response to the input data, if the master space-variant fractalization protocol detects a deficiency in data resolution of the collected input data it identifies the slave controllers that are relevant to compensate for such deficiency. The master space-variant fractalization protocol then initiates slave fractals that correspond to the identified slave controllers for collecting additional input data and that define adjustable slave fractalization protocols. The space-variant fractalization protocol then causes the slave fractalization protocols to collect the additional input data.

Abstract: A surface wave prospecting method for jointly extracting Rayleigh wave frequency dispersion characteristics in a seismoelectric field. A surface wave prospecting method includes following steps of: acquiring jointly acquired data, where the jointly acquired data includes seismic wave data and electric field data; carrying out jointly imaging processing on jointly acquired data to obtain a superposed frequency dispersion spectrum; carrying out extraction processing on superposed frequency dispersion spectrum to obtain a frequency dispersion curve, outperforming inversion processing on frequency dispersion curve to obtain a stratum structure profile. As seismic wave data and electric field data are adopted to carry out combined imaging processing to obtain superposed frequency dispersion spectrum, multi-mode frequency dispersion curve is extracted, multiplicity of solutions of inversion is greatly reduced during inversion, precision and stability of surface wave prospecting are greatly improved.

Abstract: Systems and methods of placing wells in a hydrocarbon field based on seismic attributes and quality indicators associated with a subterranean formation of the hydrocarbon field can include receiving seismic attributes representing the subterranean formation and seismic data quality indicators. A cutoff is generated for each seismic attribute and seismic data quality indicator. A weight is assigned to each seismic attribute and seismic data quality indicator. The weighted seismic attributes and data quality indicators are aggregated for each location in the hydrocarbon field. A risk ranking is assigned based on the weighted seismic attributes and data quality indicators associated with each location in the hydrocarbon field based on the cutoffs. A map is generated with each location on the surface of the subterranean formation color-coded based on its assigned risk ranking.

Abstract: Some implementations of the present disclosure provide a method that include: accessing a set of seismic traces from a grid of locations inside an geo-exploration area, each seismic trace records seismic reflections from underneath the geo-exploration area at a location of the grid; accessing an input indicating a surface in the set of seismic traces; extracting a plurality of wavelets from the set of seismic traces, each wavelet covering an adjustable length around the surface; determining a reference wavelet for each wavelet of a corresponding adjustable length; and quantifying a quality of the surface based on correlating the plurality of wavelets with each reference wavelet of the corresponding adjustable length.

Abstract: A method includes receiving seismic data for a geologic region of the Earth; building a velocity model of the geologic region of the Earth; selecting at least one mode of multiple and corresponding travel time data from a data storage where the travel time data correspond to at least one complex ray signature in the geologic region of the Earth and are based at least in part on the velocity model; performing migration on the seismic data using at least the selected travel time data to generate processed seismic data; and rendering an image of the geologic region of the Earth to a display where the image includes at least a multiple image.