Abstract: The present disclosure provides a chassis assembly and a vehicle. The chassis component includes: a chassis provided with a plurality of mounting positions and configured to install a battery module; a quick-release device through which the battery module is installed on the mounting positions, wherein the quick-release device is controlled by a control system; and a voltage electrical connecting assembly electrically connected to the battery module, wherein the voltage electrical connecting assembly is controlled by the control system. The vehicle includes the chassis assembly.

Abstract: Aspects of the invention include systems and methods configured to prevent masquerading service attacks. A non-limiting example computer-implemented method includes sending, from a first server in a cloud environment, a communication request comprising an application programming interface (API) key and a first server identifier to an identity and access management (IAM) server of the cloud environment. The API key can be uniquely assigned by the IAM server to a first component of the first server. The first server receives a credential that includes a token for the first component and sends the credential to a second server. The second server sends the credential, a second server identifier, and an identifier for a second component of the second server to the IAM server. The second server receives an acknowledgment from the IAM server and sends the acknowledgment to the first server.

Abstract: A method is provided for monitoring the occurrence of pressure anomalies due to FDI in near real time during a hydraulic fracturing operation carried out on an active well that is located near one or more passive monitoring wells. The method includes the steps of obtaining raw pressure sensor data from the one or more passive monitoring wells, processing the pressure sensor data with the FDI analysis module, and determining if the rate of change for averaged pressure sensor data exceeds a preset threshold value that indicates the likelihood of a pressure anomaly. The methods can be configured to autonomously alert an operator of the likelihood of a pressure anomaly and with guidance on resolving the anomalies.

Abstract: A method for determining a location and trajectory for a new wellbore relative to an adjacent wellbore includes: receiving controllable variable data and uncontrollable variable data related to fracturing a formation by a stimulation operation in a first wellbore penetrating the formation; receiving pressure communication event or pressure non-communication event identification data related to identification of a pressure communication event or pressure non-communication event in a second wellbore penetrating the formation in response to the fracturing; extracting features from the controllable and uncontrollable variable data to provide extracted features; detecting a pressure communication event using the extracted features and the pressure communication event or pressure non-communication event identification data using an analytic technique; identifying one or more quantified causes of the detected pressure communication event using an artificial intelligence technique; and determining the location and tr

Abstract: The present disclosure relates to image signal processing methods, apparatus, and devices. One example image signal processing method includes obtaining an image signal, where the image signal is derived based on a sensor signal collected by an image sensor, recognizing, by using a neural network, a scene to which the image signal belongs, determining, by using attribute information of the image signal, whether the scene is accurate, and in response to determining that the scene is accurate, performing enhancement processing on the image signal based on the scene to generate an enhanced image signal.

Abstract: A method for generating a well completion plan includes: evaluating a plurality of different well completion plans using a reservoir simulator to calculate dynamic flows of fluid through a subsurface formation, each well completion plan having a flow control device with location and associated flow setting or rating, and optionally a packer and location to provide output data for each well completion plan evaluation; developing a surrogate reservoir model using the output data and input data for each well completion plan evaluation; using intelligent sequential sampling of the output and input data for each well completion plan evaluation to provide intelligent sequential sampling data in response to the surrogate reservoir model not meeting a validation criterion; updating the surrogate reservoir model using the intelligent sequential sampling data; and iterating the using and the updating using a latest surrogate reservoir model until the latest surrogate reservoir model meets the validation criterion.

Abstract: The current subject matter is related to optimizing resource (e.g., steam) allocation within steam assisted gravity drainage (SAGD) system, and predicting future oil production from production wells of the SAGD system. In some embodiments data characterizing a hypothetical rate of steam injection into injection wells of the SAGD system can be applied within a capacitance resistance model (CRM) to determine an estimated rate of future fluid production, the fluid being a mixture of oil and water. An emulsion viscosity, as well as the estimate rate of future fluid production, can be applied within a Koval fractional flow model to determine an estimate rate of future oil production. In some cases, the hypothetical rate of steam injection can be optimized based on an optimization objective, e.g., a steam-to-oil ratio (SOR).

Abstract: A method is provided for monitoring the occurrence of pressure anomalies due to FDI in near real time during a hydraulic fracturing operation carried out on an active well that is located near one or more passive monitoring wells. The method includes the steps of obtaining raw pressure sensor data from the one or more passive monitoring wells, processing the pressure sensor data with the FDI analysis module, and determining if the rate of change for averaged pressure sensor data exceeds a preset threshold value that indicates the likelihood of a pressure anomaly. The methods can be configured to autonomously alert an operator of the likelihood of a pressure anomaly and with guidance on resolving the anomalies.

Abstract: A method for determining a location and trajectory for a new wellbore relative to an adjacent wellbore includes: receiving controllable variable data and uncontrollable variable data related to fracturing a formation by a stimulation operation in a first wellbore penetrating the formation; receiving pressure communication event or pressure non-communication event identification data related to identification of a pressure communication event or pressure non-communication event in a second wellbore penetrating the formation in response to the fracturing; extracting features from the controllable and uncontrollable variable data to provide extracted features; detecting a pressure communication event using the extracted features and the pressure communication event or pressure non-communication event identification data using an analytic technique; identifying one or more quantified causes of the detected pressure communication event using an artificial intelligence technique; and determining the location and tr

Abstract: A method for generating a well completion plan includes: evaluating a plurality of different well completion plans using a reservoir simulator to calculate dynamic flows of fluid through a subsurface formation, each well completion plan having a flow control device with location and associated flow setting or rating, and optionally a packer and location to provide output data for each well completion plan evaluation; developing a surrogate reservoir model using the output data and input data for each well completion plan evaluation; using intelligent sequential sampling of the output and input data for each well completion plan evaluation to provide intelligent sequential sampling data in response to the surrogate reservoir model not meeting a validation criterion; updating the surrogate reservoir model using the intelligent sequential sampling data; and iterating the using and the updating using a latest surrogate reservoir model until the latest surrogate reservoir model meets the validation criterion.

Abstract: The present disclosure relates to image signal processing methods, apparatus, and devices. One example image signal processing method includes obtaining an image signal, where the image signal is derived based on a sensor signal collected by an image sensor, recognizing, by using a neural network, a scene to which the image signal belongs, determining, by using attribute information of the image signal, whether the scene is accurate, and in response to determining that the scene is accurate, performing enhancement processing on the image signal based on the scene to generate an enhanced image signal.

Abstract: A system includes a schedule generator having one or more processors configured to obtain resource extraction parameters for extracting a resource from a reservoir. The resource extraction parameters include well creation parameters associated with drilling wellbores, well stimulation parameters associated with introducing fracturing fluid into the wellbores, and production parameters associated with extracting the resource through the wellbores. The schedule generator selects initial trial schedules having different values of the resource extraction parameters and receives initial resource output data generated by execution of the initial trial schedules with a designated reservoir model. The schedule generator generates a surrogate model based on the initial resource output data and the initial trial schedules and uses the surrogate model to perform iterations of selecting modified trial schedules until a predetermined condition is satisfied.

Abstract: The current subject matter is related to optimizing resource (e.g., steam) allocation within steam assisted gravity drainage (SAGD) system, and predicting future oil production from production wells of the SAGD system. In some embodiments data characterizing a hypothetical rate of steam injection into injection wells of the SAGD system can be applied within a capacitance resistance model (CRM) to determine an estimated rate of future fluid production, the fluid being a mixture of oil and water. An emulsion viscosity, as well as the estimate rate of future fluid production, can be applied within a Koval fractional flow model to determine an estimate rate of future oil production. In some cases, the hypothetical rate of steam injection can be optimized based on an optimization objective, e.g., a steam-to-oil ratio (SOR).

Abstract: A system includes a steam distributor configured to distribute steam received from a steam generator to multiple injection wells in a well pad for steam assisted gravity drainage (SAGD) resource production. The system also includes one or more processors configured to control the steam distributor to distribute the steam to the injection wells according to a resultant scheme including values representing multiple parameters for the SAGD resource production. The parameters include the allocated quantities of steam, pressures within multiple production wells associated with the injection wells, and time periods that the steam is directed into the injection wells. The one or more processors are configured to determine the resultant scheme by performing multiple iterations of a surrogate evaluation process until a stop criterion is met, and identifying the resultant scheme as the sample scheme of a final iteration prior to the stop criterion being met.

Abstract: According to some embodiments, system and methods are provided, comprising calculating a region of competence for a data-driven model; executing a physics-driven model when the calculated region of competence for the data-driven model falls outside of a threshold region of competence; and calibrating the physics-driven model as a function of a discrepancy between physics-driven model and actual field data when a stopping criterion has not been met. Numerous other aspects are provided.

Abstract: A system includes a schedule generator having one or more processors configured to obtain resource extraction parameters for extracting a resource from a reservoir. The resource extraction parameters include well creation parameters associated with drilling wellbores, well stimulation parameters associated with introducing fracturing fluid into the wellbores, and production parameters associated with extracting the resource through the wellbores. The schedule generator selects initial trial schedules having different values of the resource extraction parameters and receives initial resource output data generated by execution of the initial trial schedules with a designated reservoir model. The schedule generator generates a surrogate model based on the initial resource output data and the initial trial schedules and uses the surrogate model to perform iterations of selecting modified trial schedules until a predetermined condition is satisfied.

Abstract: The data ETL (Extraction-Transformation-Loading) dispatching method of the present invention is applied to a real-time data ETL system, wherein a main ETL dispatching engine executes tasks according to preset sequence. In the execution, some key information are memorized by the main ETL dispatching engine, such as lscycle (latest successful data cycle), curcycle (current processing data cycle), and endcycle (processing end data cycle), etc., and are transferred to called programs. After the execution of the called programs, the main ETL dispatching engine records and keeps the updated dispatching information. In the data re-extraction, the data ETL dispatching method is adopted for the automatic re-extraction of some tasks and some cycles therein.

Abstract: The invention provides a method of loading balance that is based on BS structure, it includes the following steps: using a 4-layers switch to distribute the application request for the proxy server; using the so-called proxy server to distribute application request for application server; and establishing the corresponding WEBLOGIC clusters in accordance with each application request. This invention provides method of loading balance that is based on BS structure that is rationally configure the connection between 4-layers switch and the proxy layer of proxy server; at the same time, maintains the loading balance of the application server and eliminates the single-spot fault by utilizing the advantages of the WEBLOGIC clusters server communication and the back-up synchronization of the users' calling back.

Abstract: For the massive data of physical memory on the computer system, data indexing can be created base on the two-dimensional hash indexing algorithm, using specific mapping relationship conversion between the index keyword and index sequence address under hash algorithm, which realize the fast addressing while introducing two-dimensional hash list to solve the ‘confliction’ problem of mapping relations in hash queue, which caused by the same keyword index or hash algorithm.

Abstract: The polling method of switch status based on Timer-triggered Scheduler of Stored Procedures is to create interface tables related with switch status in the database including switch object table, switch type table, alarms information table which are used to store meta-information and switch status values. Then, create stored procedure of acquiring relevant switch status for each kind of switch needed for polling of switch status, and data will be filtered out and switch status will be judged via the related stored procedures, and write the status values into relevant switch status interface table; finally create regularly-executed tasks to regularly schedule each stored procedure required to poll switch status. The whole process is composed of three parts: i.e., create relevant switch status interface table; create stored procedure of acquiring switch status and setting status value; regularly-executed tasks.