A method may include obtaining well log data regarding a geological region of interest. The well log data may correspond to logging-while-drilling (LWD) measurements or measurement-while-drilling (MWD) measurements acquired from various wellbores. The method may further include generating image data regarding the geological region of interest using the well log data and a recurrent neural network. The method may further include determining a drilling parameter for a wellbore among the wellbores in real-time using the image data. The drilling parameter may be determined while the well log data is being acquired in the wellbore. The method may further include transmitting, based on the drilling parameter, a command to a drilling system coupled to the wellbore.

A method for real-time formation assessment using a multi-component induction logging tool includes conveying a multi-component induction (MCI) logging tool along a borehole through a formation. The method further includes determining a relative dip and a relative azimuth of the formation based on data from the MCI logging tool. The method further includes calculating true dip and true azimuth of the formation based on the relative dip and the relative azimuth. The method further includes assessing the quality of the true dip and the true azimuth calculations.

A portion of an anisotropy formation through which a wellbore is formed can be identified. An estimate of an elastic anisotropy parameter for the portion can be adjusted based on a first quality control analysis using the elastic anisotropy parameter for the portion. The first signal representing the elastic anisotropy parameter for the portion. The estimate of the elastic anisotropy parameter for the portion can be adjusted based on a second quality control analysis using estimates for the elastic anisotropy parameters for two or more portions of the anisotropy formation.

Methods and systems for survey operations are provided. In some embodiments, crossline measurement data measured by at least one survey receiver is received. Based at least in part on a characteristic of the crossline measurement data, an option from among a plurality of candidate options is selected, where the selected option is for use in an action relating to survey of a target structure.

The present disclosure is related to absolute strength and absolute sensitivity in seismic data. Seismic data from a marine survey can be received. The seismic data can be calibrated based on an absolute strength of a seismic source and an absolute sensitivity of a seismic receiver. The calibrated seismic data can be processed.

A system for performing seismic surveys may include devices to attach fiber-optic cables and/or sensors to existing subsea infrastructure, as well as devices for recording seismic data at the fiber-optic cables/sensors attached to or incorporated within existing infrastructure. A method for seismic imaging of a subsurface volume of interest may include recording seismic data using fiber-optic cables attached to existing subsea infrastructure, processing the seismic data to create processed seismic data, and generating seismic images/attributes of the subsurface volume of interest from the processed seismic data. Additionally, the invention includes a one-way ranging technique to determine the location of FO cables using an integrated dynamic monitoring system and FO cables/sensors. The methods may be executed by a computer system.

Methods, systems, devices, and products for performing well logging in a borehole intersecting an earth formation to obtain and transmit an acoustic reflection image of the formation. Methods include identifying a set of features in the acoustic reflection image substantially fitting a pattern, wherein the set of features corresponds to a portion of at least one reflecting structural interface of the formation; and using a representation of the pattern as the compressed representation of the acoustic reflection image. The features may be amplitude peaks in the acoustic reflection image, and the pattern may be a line segment therein that is obtained from the amplitude peaks. Identifying the set of features may include generating a binary image of the amplitude peaks.

A method includes assembling a model including a plurality of independent objects. The independent objects include surfaces, properties, and zones. The method also includes decomposing the model into vertical columns, tiles, or both. The method also includes discretizing an incoming request into the vertical columns, the tiles, or both. In response to the discretized request, the method also includes performing a vertical pin analysis on the model to retrieve a portion of the surfaces, a portion of the properties, or both that are geo-located in the vertical columns, the tiles, or both. The method also includes modelling the retrieved portions to generate an output. The method also includes comparing the output with subsurface data. The method also includes modifying the model based at least partially upon the comparison.

Methods for managing an intelligent field, are provided. An exemplary method can include receiving real-time dynamic field data, analyzing validity of the dynamic field data, validating values of the field data, validating a state/condition of a well, and flagging well components, well conditions, and/or well state validation issues.

Systems and methods of real-time in-situ sub-surface imaging are described herein.