Abstract: 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.

Abstract: Systems and methods for geosteering using improved data conditioning are disclosed. The methods include estimating physical parameters from a training dataset including remote sensing data; preprocessing the estimated physical parameters; training a first neural network; training a second neural network; training a third neural network; converting estimated physical parameters into the rock characteristics with the first neural network; and converting rock characteristics into reconciled physical parameters with the second neural network. The methods further include obtaining new remote sensing data; estimating new estimated physical parameters from the new remote sensing data; converting new estimated physical parameters into new reconciled physical parameters with the third neural network; and performing geosteering of a well based on a subsurface geology interpreted from the new reconciled physical parameters.

Abstract: A method for predicting conditions ahead of a drill bit while drilling a well involves performing, using a machine learning model, a classification of formation properties ahead of the drill bit, based on data that includes logging-while-drilling (LWD) data obtained while drilling the well.

Abstract: Systems and methods for geosteering using reconciled subsurface physical parameters are disclosed. The methods include obtaining reconciled physical parameters at each of a plurality of locations within a subsurface; training at least one machine learning network to classify the reconciled physical parameters into a rock type based, at least in part, on the reconciled physical parameters; classifying the reconciled physical parameters into the rock type with the at least one machine learning network; and interpreting the rock type to form a subsurface geology model and inform a geosteering decision.

Abstract: A composition including a fluorescent polymer tag and an aqueous-based drilling fluid is provided. Also provided is a method of determining drill depth of recovered drill cuttings. The method includes introducing a fluorescent polymer tag into a drilling fluid, the fluorescent polymer tag includes the composition having the fluorescent compound linked to the polymer. The method then includes circulating the drilling fluid through a well during a drilling operation that creates formation cuttings such that the fluorescent polymer interacts with the formation cuttings, creating tagged cuttings. The returned cuttings are collected from the circulating drilling fluid at a surface of the well. The method then includes detecting the presence of the fluorescent polymer tag on the returned cuttings to identify the tagged cuttings, and correlating the tagged cuttings with the drill depth in the well at a time during the drilling operation.

Abstract: Methods and systems are provided for determining a sweep efficiency within a hydrocarbon reservoir. The method includes obtaining a well log for each of a plurality of wellbores penetrating the hydrocarbon reservoir, a deep sensing dataset for the hydrocarbon reservoir and determining a plurality of classified well logs, one from each well log using a first machine learning (ML) network. The method further includes determining a classified deep sensing dataset from the deep sensing dataset using a second ML network, training a third ML network to predict the sweep efficiency based, at least in part on the plurality of classified well logs and the classified deep sensing dataset at a location of each of the wellbores, and determining the sweep efficiency within the hydrocarbon reservoir using the trained third machine learning network based, at least in part, on the classified deep sensing dataset.

Abstract: Methods of marine to borehole measurement may include dispersing one or more borehole receivers in one or more boreholes; distributing one or more marine receivers in marine water at a seabed; immersing an electromagnetic dipole source in the marine water above the seabed; energizing the electromagnetic dipole source; measuring one or more borehole signal measurements using the one or more borehole receivers and one or more seabed signal measurements using the one or more marine receivers; and determining a three-dimensional property distribution of a reservoir of interest by processing the one or more borehole signal measurements and the one or more seabed signal measurements.

Abstract: A composition of matter including a fluorescent assembly and a drilling fluid is provided. The fluorescent assembly includes a matrix material and a plurality of fluorophores held within the matrix material and has an average particle size of at least one millimeter. A method includes introducing the fluorescent assembly into a drilling fluid and circulating the drilling fluid through a well during a drilling operation that creates formation cuttings such that the fluorescent assembly interacts with the formation cuttings, creating tagged cuttings. The method further includes collecting returned cuttings from the circulating drilling fluid at a surface of the well, detecting the presence of the fluorescent assembly on the returned cuttings to identify the tagged cuttings, and correlating the tagged cuttings with a drill depth in the well at a time during the drilling operation.

Abstract: A composition of matter including a fluorescent assembly and a drilling fluid is provided. The fluorescent assembly includes a matrix material and a plurality of fluorophores held within the matrix material and has an average particle size of at least one millimeter. A method includes introducing the fluorescent assembly into a drilling fluid and circulating the drilling fluid through a well during a drilling operation that creates formation cuttings such that the fluorescent assembly interacts with the formation cuttings, creating tagged cuttings. The method further includes collecting returned cuttings from the circulating drilling fluid at a surface of the well, detecting the presence of the fluorescent assembly on the returned cuttings to identify the tagged cuttings, and correlating the tagged cuttings with a drill depth in the well at a time during the drilling operation.

Abstract: A system for drilling a wellbore is disclosed. The injection pump releases the taggant into the mud stream traveling downhole. The taggant attaches to the rock cuttings and it is detected on the surface by the taggant detector. The taggant detector provides the data relating to the taggants detected in the drilling fluid. The data is analyzed by taggant analysis and control engine, which produces an injection profile. Based on the injection profile, the IoT Controller adapts the parameters of the taggant injection pump to achieve a real-time optimization of the taggant injection.

Abstract: A method includes establishing a database including one or more characteristics of one or more reactants and a historical data subset; determining, utilizing a machine learning algorithm trained with data stored in the database, a combination of the reactants and a reaction condition to be used for synthesis of a nanofluid; and synthesizing the nanofluid based on the combination of reactants and the reaction condition.

Abstract: A composition of matter including a fluorescent assembly and a drilling fluid is provided. The fluorescent assembly includes a matrix material and a plurality of fluorophores held within the matrix material and has an average particle size of at least one millimeter. A method includes introducing the fluorescent assembly into a drilling fluid and circulating the drilling fluid through a well during a drilling operation that creates formation cuttings such that the fluorescent assembly interacts with the formation cuttings, creating tagged cuttings. The method further includes collecting returned cuttings from the circulating drilling fluid at a surface of the well, detecting the presence of the fluorescent assembly on the returned cuttings to identify the tagged cuttings, and correlating the tagged cuttings with a drill depth in the well at a time during the drilling operation.

Abstract: A composition including a fluorescent polymer tag and an aqueous-based drilling fluid is provided. Also provided is a method of determining drill depth of recovered drill cuttings. The method includes introducing a fluorescent polymer tag into a drilling fluid, the fluorescent polymer tag includes the composition having the fluorescent compound linked to the polymer. The method then includes circulating the drilling fluid through a well during a drilling operation that creates formation cuttings such that the fluorescent polymer interacts with the formation cuttings, creating tagged cuttings. The returned cuttings are collected from the circulating drilling fluid at a surface of the well. The method then includes detecting the presence of the fluorescent polymer tag on the returned cuttings to identify the tagged cuttings, and correlating the tagged cuttings with the drill depth in the well at a time during the drilling operation.

Abstract: A method includes taking at least one image of a plurality of returned cuttings from a well using a fluorescent imaging camera, analyzing the at least one image with an imaging processing system to obtain detection data including a calculated percentage of a first emitted fluorescent light to formation cuttings, sending the detection data to an analysis and control program to correlate the returned cuttings with a depth in the well, and automatically controlling at least one drilling parameter for drilling the well based on the detection data.

Abstract: A method includes taking at least one image of a plurality of returned cuttings from a well using a fluorescent imaging camera, analyzing the at least one image with an imaging processing system to obtain detection data including a calculated percentage of a first emitted fluorescent light to formation cuttings, sending the detection data to an analysis and control program to correlate the returned cuttings with a depth in the well, and automatically controlling at least one drilling parameter for drilling the well based on the detection data.

Abstract: A system for drilling a wellbore is disclosed. The injection pump releases the taggant into the mud stream traveling downhole. The taggant attaches to the rock cuttings and it is detected on the surface by the taggant detector. The taggant detector provides the data relating to the taggants detected in the drilling fluid. The data is analyzed by taggant analysis and control engine, which produces an injection profile. Based on the injection profile, the IoT Controller adapts the parameters of the taggant injection pump to achieve a real-time optimization of the taggant injection.

Abstract: 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.

Abstract: A method for depth determination of drilled rock cuttings is disclosed. The taggant is injected and transported downhole along the mud stream and attaches to the rock cuttings. Taggant impregnated cuttings are detected at the surface based on molecular weight, emission wavelengths or radio frequency characteristics for encoding the taggant. The identification code identifies the depth of the drill bit when the particular batch of the taggant is released into the mud. The detection data, in addition to mud properties, flow rates, drill volume and penetration rates, formation characteristics, and well specifications are transferred to and analyzed by a taggant analysis and control engine. The taggant analysis and control engine controls an IoT controller that adapts the parameters of the taggant injection pump to achieve an intelligent controlled release to optimize the depth characterization process.

Abstract: Methods of marine to borehole measurement may include dispersing one or more borehole receivers in one or more boreholes; distributing one or more marine receivers in marine water at a seabed; immersing an electromagnetic dipole source in the marine water above the seabed; energizing the electromagnetic dipole source; measuring one or more borehole signal measurements using the one or more borehole receivers and one or more seabed signal measurements using the one or more marine receivers; and determining a three-dimensional property distribution of a reservoir of interest by processing the one or more borehole signal measurements and the one or more seabed signal measurements.

Abstract: A technological solution for locating and evaluating resistive targets in a space between a pair of wellbores, at least one of which includes a metallic casing. The solution includes injecting an electric current into the metallic casing of one of the pair of wellbores to energize the metallic casing as a dipole transmitter and leak the current into a formation to form variable electric fields; detecting inside the other wellbore of the pair, by an electric field receiver, the variable electric fields; and measuring, by the electric field receiver, the variable electric fields as a function of time; and generating a resistivity map of the formation based on the measurements of the variable electric fields.