A computer-implemented method may include obtaining well logs data pertaining to a well of interest. The method may further include training a physics-constrained machine learning (PCML) model using the obtained well logs data as inputs. The method may further include outputting one or more sonic logs and mechanical properties of interest determined by using the trained PCML model and the obtained well logs data for the well of interest. The method may further include updating the determined sonic logs and mechanical properties of interest based on a breakout model and field breakout data for the well of interest. The method may further include outputting the final sonic logs for the well of interest. The method may further include determining one or more mechanical properties for well planning based on the final sonic logs for the well of interest.

A combined telemetry system that can be used while drilling a wellbore consists of a multi-hop telemetry method and a single-hop telemetry method combined in parallel. The multi-hop and single-hop methods can be operated in parallel, for example, so that each telemetry method caries data concurrently from the Measuring-While-Drilling tool located in the Bottom-Hole-Assembly. The multi-hop and single-hop methods can also be operated in series, for example, so that data from the Measuring-While-Drilling tool located in the Bottom-Hole-Assembly are first carried with the single-hop telemetry method and then transferred to the multi-hop telemetry method at one or more node(s) close to the surface. Preferably, the multi-hop telemetry method can also carry data from along-string sensors. Another combined telemetry system that can be used while drilling a wellbore consists of two single-hop telemetry methods combined in parallel.

A method of identifying events includes obtaining an acoustic signal from a sensor, determining one or more frequency domain features from the acoustic signal, providing the one or more frequency domain features as inputs to a plurality of event detection models, and determining the presence of one or more events using the plurality of event detection models. The one or more frequency domain features are obtained across a frequency range of the acoustic signal, and at least two of the plurality of event detection models are different.

A method and downhole tool is provided that uses beamforming to localize acoustic energy at a desired zone-of-interest within a wellbore traversing a subterranean formation. The tool has an array of transmitter elements configured to emit guided mode acoustic signals at variable amplitude and variable time delay, which are individually controlled by an amplitude factor and time delay assigned to respective transmitter elements. A set of amplitude factors and time delays can be assigned to the transmitter elements of the transmitter array such that the transmitter elements produce a focused acoustic beam at the desired zone-of-interest by combination of guided mode acoustic signals transmitted by the transmitter elements.

A method and downhole tool is provided that uses beamforming to localize acoustic energy at a desired zone-of-interest within a wellbore traversing a subterranean formation. The tool has an array of transmitter elements configured to emit guided mode acoustic signals at variable amplitude and variable time delay, which are individually controlled by an amplitude factor and time delay assigned to respective transmitter elements. A set of amplitude factors and time delays can be assigned to the transmitter elements of the transmitter array such that the transmitter elements produce a focused acoustic beam at the desired zone-of-interest by combination of guided mode acoustic signals transmitted by the transmitter elements.

A method of probabilistically estimating a velocity of a plunger of a beam pump may comprise continuously monitoring well acoustics using a plurality of passive acoustic sensors attached to external structures of the beam pump; digitizing outputs of the plurality of passive acoustic sensors and sending the digitized outputs to a computing device for storage and processing; and using the digitized outputs of the plurality of passive acoustic sensors, estimating a probability of the velocity of the plunger using a hidden Markov model (HMM) to represent a probability of a position and the probability of the velocity of the plunger, the HMM comprising a state space model and an observational model.

Aspects of the subject technology relate to systems and methods for controlling a hydraulic fracturing job. One or more perforations to create during a fracturing stage of a fracturing job at one or more corresponding perforation sites in a wellbore can be identified. The one or more perforations can be formed through one or more perforation devices disposed in the wellbore. Specifically, the one or more perforation devices can be selectively activated from a surface of the wellbore through a well intervention-less technique to selectively form the one or more perforations during the fracturing stage. Further, a volume of fracturing fluid can be pumped into the wellbore during the fracturing stage to form one or more first fractures in a surrounding formation through the one or more perforations.

Aspects of the subject technology relate to systems and methods for controlling a hydraulic fracturing job. One or more perforations to create during a fracturing stage of a fracturing job at one or more corresponding perforation sites in a wellbore can be identified. The one or more perforations can be formed through one or more perforation devices disposed in the wellbore. Specifically, the one or more perforation devices can be selectively activated from a surface of the wellbore through a well intervention-less technique to selectively form the one or more perforations during the fracturing stage. Further, a volume of fracturing fluid can be pumped into the wellbore during the fracturing stage to form one or more first fractures in a surrounding formation through the one or more perforations.

A method of detecting one or more events comprises determining a plurality of temperature features from a temperature sensing signal, using the plurality of temperature features in an event detection model, and determining the presence or absence of the one or more events at one or more locations based on an output from the event detection model.

A method of detecting one or more events comprises determining a plurality of temperature features from a temperature sensing signal, using the plurality of temperature features in an event detection model, and determining the presence or absence of the one or more events at one or more locations based on an output from the event detection model.