Patent classifications
G01V2210/74
Automated MisTie analysis and correction across two-dimensional (“2D”) seismic surveys
Systems and methods to correct misties across multiple 2D seismic surveys using a correction solution calculated based only on the intersecting points between different surveys.
Mapping geological features using facies-type data manipulation
Methods, computer readable medium, and systems for mapping geologic features are described. In one example, a selection of a template describing a theoretical geologic depositional profile is received. In addition, paleo-elevations and/or paleo-depths of actual geologic facies in an actual geologic depositional profile are received. A graphical map that represents the actual geologic depositional profile is generated by mapping the received paleo-elevations and/or paleo-depths onto the theoretical depositional profile.
Generating geophysical images using directional oriented wavefield imaging
The present disclosure describes methods and systems, including computer-implemented methods, computer program products, and computer systems, for generating geophysical images. One computer-implemented method includes receiving a set of seismic data associated with a subsurface region; generating source analytic wavefields and receiver analytic wavefields based on the set of seismic data; decomposing the source analytic wavefields and receiver analytic wavefields; computing directions of propagations for the source analytic wavefields and receiver analytic wavefields; computing, for a plurality of subsurface points, an azimuth angle and a reflection angle for a respective subsurface point based on the directions of propagations; generating for each of the plurality of subsurface points, a weighting function for a respective subsurface point based on the azimuth angle and the reflection angle of the respective subsurface point; and generating a subsurface image using the weighting functions of the plurality of subsurface points.
SYSTEM AND METHOD FOR SEISMIC IMAGING OF SUBSURFACE VOLUMES INCLUDING COMPLEX GEOLOGY
A method is described for seismic imaging including image enhancement using a trained neural network. The neural network may receive training pairs of low signal-to-noise ratio 3D seismic images and high signal-to-noise ratio 3D seismic images; train a neural network on the training pairs wherein the training uses atrous convolution; receive a seismic image representative of a subsurface volume of interest; apply the neural network to the seismic image to generate a second seismic image; and display the second seismic image on a graphical user interface. The method is executed by a computer system.
INFILL MONITORING USING THE THREE-DIMENSIONAL FRESNEL ZONE OF A MIGRATION OPERATOR
Implementations for monitoring seismic data recorded in a marine survey of a subterranean formation for coverage gaps are described herein. Implementations include computing Fresnel sum operators for Fresnel zones of the subterranean formation based on a Kirchhoff migration impulse response at horizons of a representative plane layer model of a survey area of the subterranean formation. Implementations also include computing an acceptability map of the survey area based on the Fresnel sum operators. The acceptability map reveals coverage gaps in the survey area. Geoscientist may use the acceptability map to infill seismic data in areas of the survey area that correspond to the coverage gaps.
SYSTEM AND METHOD FOR ANALYZING RESERVOIR CHANGES DURING PRODUCTION
There is disclosed a system and method for analyzing geological features of a reservoir, such as a subterranean hydrocarbon reservoir undergoing changes during different stages of its production, by utilizing an artificial neural network to learn from hydrocarbon reservoir production project. In an aspect, there is provide a system and method for utilizing data collected from 4D seismic studies in order to train an artificial neural network to recognize how physical properties of a hydrocarbon reservoir change over time, as the hydrocarbon reservoir is produced. In an embodiment, the system and method are adapted to generate and obtain a plurality of image slices or image planes derived from a 3D seismic baseline and at least one monitor acquired over the course production of the hydrocarbon reservoir. Corresponding 2D image slices derived from the 3D seismic baseline and a subsequent monitor are correlated and matched and are then used to train an artificial neural network to create a predictive model of how the reservoir may change over time.
ACOUSTIC INTEGRITY IMAGING
Various embodiments include methods and apparatus structured to investigate a structure of multiple strings of pipe in a wellbore and material around the pipes in the wellbore. An array of acoustic receivers can be used to monitor sound energy from the structure and material within and around the structure. The received sound energy can be segregated and coherent signal processing of the received sound energy can be conducted with respect to location. A bond map of the structure and regions around the multiple strings of pipe can be derived from the coherent signal processing. Additional apparatus, systems, and methods can be implemented in a variety of applications.
Evaluating processing imprint on seismic signals
A method of evaluating processing imprint on seismic signals includes receiving a first and a second seismic dataset of a reservoir. A first and a second synthetic dataset are generated, where the second synthetic dataset is generated by multiplying at least a portion of data in the first synthetic dataset by a scaling factor. A first and a second combined dataset are generated by adding the respective seismic dataset and the respective synthetic dataset. A first and a second processed dataset are generated by applying a seismic processing step on the first and the second combined dataset, respectively. A difference factor between the first and the second processed dataset is calculated. Based on the difference factor and the scaling factor, it is determined whether the seismic processing step is able to preserve signal amplitude changes between the first and the second seismic dataset.
Subterranean Formation Fault Prediction System
Systems and methods are provided for predicting a location of a fault in an area of interest of a subterranean formation by automatically determining a minimum-energy path between fault points received from a user and positioned on a seismic image of the area of interest. The seismic image of the area of interest may include fault indicators corresponding to potential faults. In some aspects, the minimum-energy path may be determined by tracing a path from one of the two fault points to the other fault points using segments of the fault indicators identified as requiring the least amount of energy to traverse a path between the selected fault points.
SYSTEMS AND METHODS OF DETERMINING PARAMETERS OF A MARINE SEISMIC SURVEY
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.