G01V2210/74

WORK FLOW BASED ACOUSTIC PROCESSING SYSTEM AND METHOD

A method, article and system are provided for processing and interpreting acoustic data. The method and system includes providing a number of acoustic processing elements, each element being associated with an acoustic mode of a number of acoustic modes of a sonic measurement tool adapted to acquire data representing acoustic measurements in a borehole. In addition the method and system includes providing a user interface to organize a processing chain of the number of acoustic processing elements such that the acoustic processing elements process the acquired data according to a predefined workflow.

Attenuation of multiple reflections

A method can include selecting a location associated with a seismic survey geometry; selecting a trace for the location where the trace is selected from one of a plurality of different types of traces that include real data traces, interpolated data traces and model data traces; generating a multiple model based at least in part on the selected trace; and adjusting seismic data based at least in part on the multiple model.

SYSTEM AND METHOD FOR ASSESSING THE PRESENCE OF HYDROCARBONS IN A SUBTERRANEAN RESERVOIR BASED ON SEISMIC DATA
20190146108 · 2019-05-16 ·

A method is described for a manner of geologic analysis using seismic data. The method includes steps to produce improved amplitude versus angle (AVA) information that may be used for analysis of geologic features of interest including estimation of pore fluid content and quantitative probabilities of different fluid contents and/or rock properties. The method assesses the probability of hydrocarbons in a subterranean reservoir based on seismic amplitude variations along offsets or angles for portions of a seismic horizon. The method may be executed by a computer system.

Method for compressing, slicing, and transmitting image files for display and interpretation
10275425 · 2019-04-30 ·

A method and system for dividing up large image files, for example, a subsurface wellbore log, into smaller files or slices for faster analysis and for faster transmission. The transmission and analysis can be performed over a network system for display to a user to perform data interpretation, such as geological interpretations. The side by side comparison can be individually controlled and analyzed as well as synchronized manually for comparison. The data from one or multiple different logs can be viewed side by side as smaller slices of the whole while being able to independently vary the view depth of the data from each wellbore by scrolling. Well tops, and other subsurface data, can be interpreted and shown in the well log image with associated depth registration.

Determining node depth and water column transit velocity
10274624 · 2019-04-30 · ·

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.

Determining displacement between seismic images using optical flow
10274623 · 2019-04-30 · ·

A method for determining a displacement seismic image between two seismic images may begin with receiving a first seismic image and a second seismic image. The method may then include generating a first scaled image based on the first seismic image and a second scaled image based on the second seismic image and determining a scaled displacement volume between the two scaled images using an optical flow algorithm. The method may then involve calculating a displacement volume based on the scaled displacement volume and a scaling function used to generate the scaled images. The method may then generate a third seismic image by applying the displacement volume to the second seismic image. The method may then involve determining the difference volume between the first seismic image and the third seismic image.

3D seismic acquisition

Disclosed are methods of marine 3D seismic data acquisition that do not require compensation for winds and currents.

BOUNDARY ADJUSTMENT OF VERTICAL SEISMIC SECTIONS OF THREE-DIMENSIONAL SEISMIC SURVEYS TO REMOVE DATA GAPS
20190086569 · 2019-03-21 ·

Systems and methods of the present disclosure are directed to adjustment of seismic survey boundaries to remove or minimize data gaps, thereby providing optimized seismic interpretation.

SEISMIC WELL TIE BASED ON MACHINE LEARNING
20240248230 · 2024-07-25 ·

A method includes obtaining a synthetic seismogram representing a seismic well tie, a shifted synthetic seismogram representing the seismic well tie, and a shift input including domain shift data for converting well log data from a depth domain to a time domain, generating a shift label based on the synthetic seismogram and the shifted synthetic seismogram using a machine learning model, determining that an accuracy of the shift label is less than a threshold based on a comparison of the shift input and the shift label, adjusting the machine learning model in response to determining that the accuracy of the shift label is less than the threshold, predicting a second shift for a second seismic well tie from a second seismogram using the machine learning model, and generating a seismic image based on the second seismic well tie, the second seismogram, and the second shift.

Method and system for faster seismic imaging using machine learning

A method may include obtaining seismic data regarding a geological region of interest. The seismic data may include various pre-processed gathers. The method may further include obtaining a machine-learning model that is pre-trained to predict migrated seismic data. The method may further include selecting various training gathers based on a portion of the pre-processed gathers, a migration function, and a velocity model. The method may further include generating a trained model using the training gathers, the machine-learning model, and a machine-learning algorithm. The method may further include generating a seismic image of the geological region of interest using the trained model and a remaining portion of the seismic data.