Patent classifications
G01V2210/74
Geologic feature splitting
A method includes receiving information that defines a three-dimensional subterranean structure; splitting the three-dimensional subterranean structure into portions; generating convex hulls for the portions; and generating a discrete fracture network based at least in part on the convex hulls.
DYNAMIC FIELD OPERATIONS SYSTEM
A method can include acquiring data associated with a field operation in a geologic environment; processing the data by partitioning operationally and representing symbolically; formulating a symbolic query for an operating procedure specification; performing a search of the symbolically represented data utilizing the symbolic query and a probabilistic chain model; receiving a search result responsive to the search; assessing compliance with the operation procedure specification utilizing the search result; and issuing a control signal to field equipment utilizing the assessment of compliance.
VISUALIZING AND EDITING A REPRESENTATION OF A GEOLOGICAL SURFACE
A cross sectional representation of a geological surface is displayed on a display screen. A segment of the cross-sectional representation is edited, and a pseudo log of formation properties based on the edited segment is displayed on the display screen. A determination is made whether formation properties associated with the pseudo log match actual formation properties measured during drilling of a well and a signal is output indicative of the match. A drill operator may use a structural model determined based on the edited geological surface to drill for hydrocarbons in the formation.
ACCURATE RENDERING OF ACOUSTIC IMAGES
A device, system and method to process acoustic images of tubulars and wellbores. Corrections for real-world logging are calculated and stored in correction Look Up Tables (LUT), which are used to display projections or create geometric models of the wellbore or tubular. The user interface allows the user to interact with the projections to update the LUTs to operate on the images. This process helps correct for real-world challenges such as tool eccentricity, tool rotation, tool angle, and speed of sound differences in order to create a more intuitive rendering.
METHOD OF SEPARATION EVALUATION OF ACOUSTIC ANISOTROPY AND HETEROGENEITY
Aspect of the disclosure provides for a method to display sonically received data after defects of anisotropy and heterogeneity have been removed.
IDENTIFYING GEOLOGIC FEATURES IN A SUBTERRANEAN FORMATION USING A POST-STACK SEISMIC DIFFRACTION IMAGING CONDITION
A system for seismic imaging of a subterranean geological formation, the system includes a receiver configured to obtain seismic data comprising a data volume representing a post-stacked image. The system includes a filtering module configured to: apply frequency-wavenumber (F-K) filter to the data volume extract a negative-dip structure image and apply the frequency-wavenumber (F-K) filter to the data volume extract a positive-dip structure image. The system includes a diffraction rendering module configured to: multiply the positive-dip structure image with the negative-dip structure image and generate a diffraction-enhanced seismic image representing a geological formation of the data volume.
GENERATING HYDROCARBON CHANCE MAPPING
This disclosure presents methods and systems to perform fairway analysis on a computing system to automate tasks. The automation of the fairway analysis can reduce bias and uncertainty introduced by a user using their own set of assumptions, estimations, and preferred sequencing of rules and algorithms. The described processes can receive initial input parameters describing the area of interest (AOI) and a geological age range. The processes can retrieve appropriate geological and stratigraphic parameters using the initial input parameters. The combined input parameters can then be geoprocessed using age-aware rules and a determined sequence of algorithms and rules to generate synthesized geological data that can be upscaled and transformed into one or more chance maps indicating the presence and effectiveness of various hydrocarbon elements. The chance maps can be amalgamated and processed to produce a prospective map indicating the likelihood of success of further exploration of the specified AOI.
IDENTIFYING GEOLOGIC FEATURES IN A SUBTERRANEAN FORMATION USING SEISMIC DIFFRACTION IMAGING
A system for seismic imaging of a subterranean geological formation uses a two-way imaging condition. A seismic signal is emitted into a subterranean formation and recorded at receiver(s). Source and receiver wavefields are decomposed into respective right-down/left-up and left-down/right-up propagating waves. The right-down/left-up and left-down/right-up direction can be defined along the direction emitted from the source or receiver to corresponding direction in two dimensional (2D) case. An imaging condition for generating both a positive-dip structure image and a negative-dip structure image is the inner product of the wavefields. Applying the sample-by-sample multiplication imaging condition to the opposite dip images, the diffraction energy is retained while the reflection energy is significantly attenuated. The diffraction image can be used to detect faults and fractures in subsurface regions.
Data Interpretation Quality Control Using Data Stacking
Methods, apparatuses, and computer-readable media utilize data stacking to facilitate identification and/or correction of data interpretation conducted for a subsurface formation. Related data sets, such as well logs, may be displayed along with markers representing a common entity in the related data sets, such as formation features in a surface formation, and a visualization of stacked data may be generated and centered on the markers to highlight mis-alignment of any of the markers.
Automatic Feature Extraction from Seismic Cubes
Methods, computing systems, and computer-readable media for interpreting seismic data, of which the method includes receiving seismic data representing a subterranean volume, and determining a feature-likelihood attribute of at least a portion of a section of the seismic data. The feature-likelihood attribute comprises a value for elements of the section, the value being based on a likelihood that the element represents part of a subterranean feature. The method also includes identifying contours of the subterranean feature based in part on the feature-likelihood attribute of the section, and determining a polygonal line that approximates the subterranean feature.