Abstract: At least some of the disclosed systems and methods obtain a static earth model having a three-dimensional grid with multiple cells, each cell having petrophysical properties associated therewith. Further, at least some of the disclosed systems and methods adjust a size of at least some of the cells based on a predetermined scaling rule. Further, at least some of the disclosed systems and methods re-sample petrophysical properties for the adjusted grid cells. If the one or more attributes of the static earth model are within a threshold tolerance after the adjusting and re-sampling steps, the static earth model is used as input to a flow simulator.

Abstract: A three-dimensional reservoir simulator used for automated upscaling relative permeability and capillary pressure in multi-porosity systems comprising disparate rock-types. A coarse-scale single-porosity model incorporating multi-porosity model properties may be derived from a fine-scale single-porosity model based, at least in part, on simulation of a model comprising data from one or more regions of interest. Real-world and laboratory measurements of the one or more regions of interest may be provided to the fine-scale single-porosity simulation model and the fine-scale single-porosity model may be subjected to one or more fractional flow simulation processes and one or more displacement simulation processes. The fine-scale model properties may be modified based, at least in part, on the results of the one or more fractional flow simulation processes and one or more displacement simulation processes.

Abstract: A system for multi-stage placement of material in a wellbore includes a recurrent neural network that can be configured based on data from a multi-stage, stimulated wellbore. A computing device in communication with a sensor and a pump is operable to implement the recurrent neural network, which may include a long short-term neural network model (LSTM). Surface data from the sensor at each observation time of a plurality of observation times is used by the recurrent neural network to produce a predicted value for a response variable at a future time, and the predicted value for the response variable is used to control a pump being used to place the material.

Abstract: Systems and methods for detecting a gas kick within a wellbore are provided. The system includes a rotatable tool including one or more acceleration sensors and/or oscillators. The method includes rotating the rotatable tool in contact with fluid inside the wellbore and detecting changes in rotational velocity of the rotatable tool to detect the gas kick. In other aspects, the method includes detecting a change in density of the fluid within the wellbore by at least one or more pressure waves to determine the gas kick within the wellbore.

Abstract: System and methods for optimizing coiled tubing string configurations for drilling a wellbore are provided. A length of a rotatable segment of a coiled tubing string having rotatable and non-rotatable segments is estimated based on the physical properties of the rotatable segment. A friction factor for the rotatable segment is calculated based on the estimated length. An effective axial force for one or more points of interest along the non-rotatable and rotatable string segments is calculated, based in part on the friction factor. Upon determining that the effective axial force for at least one point of interest exceeds a predetermined maximum force threshold, an effective distributive friction factor is estimated for at least a portion of the non-rotatable segment of the string. The rotatable and non-rotatable string segments are redefined for one or more sections of the wellbore along a planned trajectory, based on the effective distributive friction factor.

Abstract: System and method for analyzing and evaluating the performance of a directional driller (“DD”) include acquiring and analyzing drilling data in real time, identifying activities and decisions that are the responsibility of the directional driller, and confirming whether or not the directional driller's decisions were appropriate or not and in what timeframe. The system and method may provide output information for evaluation purposes, for example, in the form of a directional drilling quality report. The directional drilling quality report may allow evaluation of an individual directional driller and also comparison of directional drillers relative to each other. The use of real-time drilling data allows the report to be modified to reflect actual drilling conditions and objectives as needed.

Abstract: A method includes obtaining, using multiple internal well-modeling applications, data from an engineer's data model (EDM) database. The method further includes deriving data relevant to an external application from at least a first portion of the obtained data. The method further includes formatting the derived data and at least a second portion of the obtained data, relevant to the external application, to be compatible with the external application. The method further includes sending the formatted data to the external application or a user of the external application. The method further includes receiving results of processing the formatted data by the external application or the user of the external application. The method further includes storing the results in the EDM database.

Abstract: Systems, methods, and computer-readable media are described for intelligent, real-time monitoring and managing of changes in oilfield equilibrium to optimize production of desired hydrocarbons and economic viability of the field. In some examples, a method can involve generating, based on a topology of a field of wells, a respective graph for the wells, each respective graph including computing devices coupled with one or more sensors and/or actuators. The method can involve collecting, via the computing devices, respective parameters associated with one or more computing devices, sensors, actuators, and/or models, and identifying a measured state associated with the computing devices, sensors, actuators, and/or models.

Abstract: A method includes comparing a natural frequency of a tubular with a frequency of each of at least two pulse generating devices positioned adjacent each other on the tubular, the tubular and the at least two pulse generating devices comprising an energy system; adjusting the frequency of at least one of the at least two pulse generating devices when the frequency is equal to the natural frequency of the tubular and obtaining an adjusted frequency different from the natural frequency; calculating an energy distribution in the energy system based on the natural frequency and the adjusted frequency of the at least one of the at least two pulse generating devices; and determining a new location on the tubular for positioning one or more of the at least two pulse generating devices such that energy introduced into the energy system is less than energy dissipated from the energy system.

Abstract: A multivariate analysis may be used to correlate seismic attributes for a subterranean formation with petrophysical properties of the subterranean formation and/or microseismic data associated with treating, creating, and/or extending a fracture network of the subterranean formation.

Abstract: A method comprising determining a property of a first section of drill pipe that is to connect a first agitator to a second agitator in a bottom hole assembly of a drill string, determining a distance between the first agitator and the second agitator based, at least in part, on the property of the first section of drill pipe, positioning the first agitator in the bottom hole assembly of the drill string, and positioning the second agitator in the bottom hole assembly of the drill string relative to the first agitator based, at least in part, on the distance.

Abstract: Systems and methods for displaying a preferred well on a mobile device displaying data for another well and reconfiguring a system based on geographical coordinates for the mobile device and/or the system.

Abstract: A method and system for forming Representative Elemental Length (REL) of well data. The method may comprise inputting log data from a borehole in a formation into an information handling system, identifying an initial length of the REL section and divide the log data into a plurality of REL investigation sections that are of substantially equal length, calculating an average value of a formation property for each of the plurality of REL investigation sections, and selecting a maximum value and a minimum value of the REL investigation sections. The method may further comprise checking the maximum value and the minimum value are stable, deriving the formation property for each of the REL sections as an output, and forming a model of the formation from each of the REL sections. The system may comprise a downhole device, configured to take measurements of a formation, and an information handling system.

Abstract: A system and method are provided for correlating well log data and seismic data corresponding to subterranean formations to generate a seismic well tie that preserves blocking schemes associated with the well log data and constraints corresponding to each block of samples. The seismic well tie may be generated by correlating samples of the well log data with the seismic data by shifting at least some of the samples and using the constraint on changes to the sample values to prevent the sample values of each of the one or more blocks of the samples from changing beyond the constraint. In some aspects, the constraints may relate to a constant velocity or a linearly changing velocity within various blocks of the well log data.

Abstract: In some embodiments, an apparatus and a system, as well as a method and an article, may operate to receive parameters for a first node of a network, the network including a plurality of segments through which an object is to be routed and a plurality of nodes, including the first node, representative of intersections of two or more segments of the plurality of segments; to generate segment lengths for segments between the first node and neighboring nodes to identify a nearest neighboring node with a shortest segment length relative to the first node; and to repeat operations of receiving parameters, generating segment lengths, and identifying nearest neighboring nodes until a route has been identified between a first endpoint and a second endpoint of the network. Additional apparatus, systems, and methods are disclosed.

Abstract: A method for creating a seamless scalable geological model may comprise identifying one or more geological scales, establishing a geological tied system, identifying one or more graphical resolution levels for each of the one or more geological scales, constructing the seamless scalable geological model, and producing a post-process model. A system for creating a seamless scalable geological model may comprise an information handling system, which may comprise a random access memory, a graphics module, a main memory, a secondary memory, and one or more processors configured to run a seamless scalable geological model software.

Abstract: A visualization module of an imaging system having a 3D geocellular model generated for illustrating rock types within a subterranean formation. The visualization module can determine that cells of the 3D geocellular model are visible to a field of view for a viewing user. For each cell determined to be visible, the visualization module can determine a rock type for the cell and that one or more faces of the cell are visible. For each face determined to be visible, the visualization module can determine an orientation of the face; determine that an image corresponds to the determined orientation and determined rock type; and apply the image to the face of the cell in the 3D geocellular model.

Abstract: Systems, methods, and computer-readable media for automatic classification of drilling reports with deep natural language processing. A method may involve obtaining drilling reports associated with respective well drilling or operation activities, and based on the drilling reports, generating a plurality of word vectors, wherein each word vector from the plurality of word vectors represents a respective word in the drilling reports. The method can further involve partitioning sentences in the drilling reports into respective words and, for each sentence, identifying respective word vectors from the plurality of word vectors, the respective word vectors corresponding to the respective words associated with the sentence. The method can involve classifying via a neural network, the sentences in a drilling report into at least one of respective events, respective symptoms, respective actions, and respective results. The method can also classify sentences according to any set of labels of interest.

Abstract: Systems and methods for automated planning and/or control of a drilling operation are implemented to be based at least in part on automated prediction of well performance using an analytical well performance model. Substantially real-time determination of one or more drilling parameters and/or well trajectory parameters is based on measurements received from a drill tool together with the well performance model. The described techniques thus provide for automated, analytically determined well performance measures (e.g., well productivity and/or revenue) to a geosteering process. The well performance model accounts for variations of well trajectory both in inclination and in azimuth angle.

Abstract: Systems and methods for detecting a gas kick within a wellbore are provided. The system includes a rotatable tool including one or more acceleration sensors and/or oscillators. The method includes rotating the rotatable tool in contact with fluid inside the wellbore and detecting changes in rotational velocity of the rotatable tool to detect the gas kick. In other aspects, the method includes detecting a change in density of the fluid within the wellbore by at least one or more pressure waves to determine the gas kick within the wellbore.