Abstract: An electronic apparatus includes: a memory for storing an instruction; and a processor operatively connected to the communication interface and the memory, and configured to execute the instruction to: identify a wireless connection state of a user terminal based on information on the wireless connection state of the user terminal in a case that an urgent call event to the user terminal occurs, transmit a wireless connection enable request to a server by using a predetermined existing connection, based on identifying that the wireless connection state of the user terminal is a disable state, and transmit an urgent call to the user terminal in a case that: the processor receives a response signal from the user terminal enabling its wireless connection after receiving the wireless connection enable request from the server, or a predetermined time elapses.

Abstract: A method for performing a borehole operation is disclosed. The method includes determining a characteristic diffusion time that corresponds to an undrained response period or a non-monotonic pore pressure dissipation phase of a porous medium surrounding a borehole, determining, based on a pre-determined failure criterion, a critical time of the borehole that corresponds to when a failure of the porous medium occurs within the characteristic diffusion time, identifying a failure region of the failure occurring at the critical time of the borehole, and performing, based on at least the identified failure region, the borehole operation.

Abstract: A method for evaluating an integrity of a liner disposed in a wellbore, that contacts a formation through a cement layer between the liner and the formation, includes computing a stress on a boundary of the liner by an iteration procedure that implements an analytical solution of stresses on a liner-cement interface and a cement-formation interface using the geometric data, performing numerical simulations using the computational numerical model to calculate a magnitude and distribution of stresses acting on the liner-cement interface and the cement-formation interface, performing numerical simulations with the actual in-situ stresses to replace the mean in-situ stress on the outer boundary of formation layer to calculate magnitude and distribution of stresses acting on the liner-cement and cement-formation interfaces using the calibrated computational mesh and applying the calculated stresses acting on the liner to a liner integrity evaluation model to determine an integrity of the liner at a plurality of st

Abstract: Systems and methods for predicting a breakdown pressure of a formation and fracturing the formation account for filter cake effects. The systems and methods measure a time-dependent permeability and a time-dependent thickness of a filter cake formed by a first drilling mud. The systems and methods determine a time-dependent permeability model and a time-dependent thickness model of the filter cake. The systems and methods select a breakdown pressure model based on (i) the time-dependent thickness of the filter cake, (ii) the time-dependent permeability of the filter cake, and (iii) the permeability of the formation. The systems and methods use the selected breakdown pressure model to predict the breakdown pressure of the formation and fracture the formation using a drilling fluid having a mud weight associated with the predicted breakdown pressure of the formation.

Abstract: Systems and methods for predicting a breakdown pressure of a formation and fracturing the formation account for filter cake effects. The systems and methods measure a time-dependent permeability and a time-dependent thickness of a filter cake formed by a first drilling mud. The systems and methods determine a time-dependent permeability model and a time-dependent thickness model of the filter cake. The systems and methods select a breakdown pressure model based on (i) the time-dependent thickness of the filter cake, (ii) the time-dependent permeability of the filter cake, and (iii) the permeability of the formation. The systems and methods use the selected breakdown pressure model to predict the breakdown pressure of the formation and fracture the formation using a drilling fluid having a mud weight associated with the predicted breakdown pressure of the formation.

Abstract: Methods for determining an in-situ pore pressure in a formation rock may include acquiring well log data, calculating a cation-exchange capacity, calculating a mole fraction of fixed charges using the cation-exchange capacity, determining a formation temperature, calculating the in-situ pore pressure, outputting the in-situ pore pressure of the formation rock, and using the in-situ pore pressure in a wellbore stability model to monitor and maintain stability of the formation rock. Corresponding electronic devices may include a computer processor coupled to at least one logging tool, wherein the logging tool is configured to acquire well log data in a formation rock. Non-transitory computer storage mediums may include program instructions, that when executed, may be configured to perform the methods for determining an in-situ pore pressure in a formation rock.

Abstract: An exemplary method includes solving on a computing system an optimal power flow formulation for a plurality of generators in a power system. The solving includes computing using multi-threaded parallelism a plurality of constraints for the formulation, computing using multi-threaded parallelism a plurality of Jacobian functions of the constraints, and computing using multi-threaded parallelism a Hessian of Lagrangian functions. The method further includes outputting results of the solving, wherein the results comprise values of generation levels for the plurality of generators. Apparatus and program products are also disclosed.

Abstract: Systems and methods include a computer-method for updating drilling parameters in real time. A predicted breakout geometry is determined for a drilling operation of a petrochemical well. Determining the predicted breakout geometry uses an analytical elastic breakout model and includes determining a predicted breakout width, a predicted breakout depth, and a predicted breakout angle. The predicted breakout geometry is compared with an observed breakout geometry at an observed breakout angle determined in real time using real-time caliper log data obtained from a multi-finger caliper during the drilling operation. A maximum horizontal stress value in the analytical elastic breakout model is adjusted until the predicted breakout geometry matches the observed breakout geometry within a percentage threshold. Mud weight calculations for the drilling operation are updated in response to the comparing and adjusting. Drilling parameters for the drilling operation are changed in real time in response to the updating.

Abstract: Estimating permeability enhancement of a subterranean formation due to presence of an oxidizer in a fracturing fluid, including determining kerogen volume percent in the subterranean formation and estimating fractured kerogen porosity, wherein the fractured kerogen porosity is associated with presence of the oxidizer. The technique includes determining an increase in connected porosity in the subterranean formation correlative with the kerogen vol % and the fractured kerogen porosity.

Abstract: A method for operating a power generating facility connected to a power distribution grid having an uncertain power generation condition includes predicting a probabilistic power flow forecast in a transmission line of the power distribution grid for a period of time, wherein the transmission line is electrically coupled to the power generating facility, predicting, using the probabilistic power flow forecast, a probability of congestion over the transmission line of the power distribution grid during the period of time, generating a mitigation plan, including a load adjustment on the transmission line, using the probability of congestion predicted over the transmission line and a thermal limit constraint of the transmission line, wherein the mitigation plan balances load adjustment and an overlimit line capacity on the transmission line, and controlling the power generating facility, using the mitigation plan, to achieve load modification and mitigate the probability of congestion predicted in the transmissi

Abstract: Systems and methods for determining a time-dependent mud weight window are disclosed. The existence of fractures in formation rock along with a type of the formation rock are used to determine the use of a particular solution to determine the mud weight window at a particular time of a wellbore drilling operation.

Abstract: A method for evaluating an integrity of a liner disposed in a wellbore, that contacts a formation through a cement layer between the liner and the formation, includes computing a stress on a boundary of the liner by an iteration procedure that implements an analytical solution of stresses on a liner-cement interface and a cement-formation interface using the geometric data, performing numerical simulations using the computational numerical model to calculate a magnitude and distribution of stresses acting on the liner-cement interface and the cement-formation interface, performing numerical simulations with the actual in-situ stresses to replace the mean in-situ stress on the outer boundary of formation layer to calculate magnitude and distribution of stresses acting on the liner-cement and cement-formation interfaces using the calibrated computational mesh and applying the calculated stresses acting on the liner to a liner integrity evaluation model to determine an integrity of the liner at a plurality of st

Abstract: Estimating permeability enhancement of a subterranean formation due to presence of an oxidizer in a fracturing fluid, including determining kerogen volume percent in the subterranean formation and estimating fractured kerogen porosity, wherein the fractured kerogen porosity is associated with presence of the oxidizer. The technique includes determining an increase in connected porosity in the subterranean formation correlative with the kerogen vol % and the fractured kerogen porosity.

Abstract: Methods for determining an in-situ pore pressure in a formation rock may include acquiring well log data, calculating a cation-exchange capacity, calculating a mole fraction of fixed charges using the cation-exchange capacity, determining a formation temperature, calculating the in-situ pore pressure, outputting the in-situ pore pressure of the formation rock, and using the in-situ pore pressure in a wellbore stability model to monitor and maintain stability of the formation rock. Corresponding electronic devices may include a computer processor coupled to at least one logging tool, wherein the logging tool is configured to acquire well log data in a formation rock. Non-transitory computer storage mediums may include program instructions, that when executed, may be configured to perform the methods for determining an in-situ pore pressure in a formation rock.

Abstract: An exemplary method includes solving on a computing system an optimal power flow formulation for a plurality of generators in a power system. The solving includes computing using multi-threaded parallelism a plurality of constraints for the formulation, computing using multi-threaded parallelism a plurality of Jacobian functions of the constraints, and computing using multi-threaded parallelism a Hessian of Lagrangian functions. The method further includes outputting results of the solving, wherein the results comprise values of generation levels for the plurality of generators. Apparatus and program products are also disclosed.

Abstract: An exemplary method includes solving on a computing system an optimal power flow formulation for a plurality of generators in a power system. The solving includes computing using multi-threaded parallelism a plurality of constraints for the formulation, computing using multi-threaded parallelism a plurality of Jacobian functions of the constraints, and computing using multi-threaded parallelism a Hessian of Lagrangian functions. The method further includes outputting results of the solving, wherein the results comprise values of generation levels for the plurality of generators. Apparatus and program products are also disclosed.

Abstract: The subject matter of this specification can be embodied in, among other things, a method for determining leak-off rate includes receiving a collection of geological data descriptive of a well path through a predetermined geographical area, the geological data comprising fracture density and fracture distribution data obtained from offset wellbore image and wellbore nuclear magnetic resonance logs, determining a hydraulic fracturing fluid leak-off rate based on the received collection of geological data, and providing the determined hydraulic fracturing fluid leak-off rate.

Abstract: A method for determining power output levels of a plurality of nodes in an electric power system includes receiving, at a first node of the plurality of nodes, voltage information and multipliers of all neighboring nodes of the first node within the electric power system, determining, by the first node, a local power generation and a local voltage using the voltage information and the multipliers of the neighboring nodes and distributing the local power generation and the local voltage to the neighboring nodes, determining, by the first node, an estimated voltage of each of the neighboring nodes and distributing the estimated voltage to each of the neighboring nodes, and updating, by the first node, a local multiplier using the voltage information received from the neighboring nodes and the estimated voltage of each of the neighboring nodes determined by the node.

Abstract: Systems and methods for determining a time-dependent mud weight window are disclosed. The existence of fractures in formation rock along with a type of the formation rock are used to determine the use of a particular solution to determine the mud weight window at a particular time of a wellbore drilling operation.

Abstract: A collaborative learning framework is presented. The collaborative framework is implemented by multiple network nodes interconnected by a network. The network nodes belong to multiple client systems of the framework. A network node belonging to a first client system constructs a predictive model for the first client system by using a pattern dictionary that is a built based on a consensus among the multiple client systems. The network node calculates a set of local statistics for the first client system based on raw data of the first client system. The network node computes a consensus set of local statistics by aggregating sets of local statistics from the multiple client systems. The network node updates the pattern dictionary based on current values of the pattern dictionary and the consensus set of local statistics.