Saudi Arabian Oil Company

Soloman M Almadi

Fouad M Alkhabbaz

Bander R Al-Yousef

Soliman A Al-Walaie

Zakarya A Abu Al Saud

Tofig A Al-Dhubaib

Abdullah Fayez Al-Halafi

Hassan S Al-Yousef

Abdulaziz Khaled AlSenaide

Yousif Alghamdi

Obiomalotaoso Leonard Isichei

Pedro Alejandro Mujica

Herman Roberto Cipriano

Ahmad O Al-Khowaiter

Al-Waleed Abdullah Al-Gouhi

Hussain A Al-Salem

Abdullah Al-Nufaii

Saad A Al-Harbi

Zakarya AbuAlSaud

Abdullah Al-Khalifah

Muhanned Abu Ghdaib

Mohammed S Al-Ahmadi

Zakarya Abu AlSaud

Khalid Al-Usail

Abduladhim Abdullatif

A computer-implemented method to manage an industrial plant facility, the method including: monitoring multiple streams of input data from a network of sensors at the industrial plant facility, wherein the network of sensors include a plurality of microsound collectors positioned in an area of the industrial plant facility; analyzing, by a server computer, the input data, wherein the input data comprise sound signatures captured by the plurality of microsound collectors; and determining, from the sound signatures, an operation status in the area of the industrial plant facility, wherein the sound signatures originate from the microsound collectors positioned in the area.

Emulated facility safety with correlated sound frequency modeling

A computer-implemented method includes: connecting an infrastructure construction digital integrated twin ICDIT to an interface management system through one or more application program interfaces (APIs) of one or more databases storing information showing real-time activities of two or more execution agencies operating concurrently for an industrial plant facility, wherein the interface management system comprises rules governing interface points between the two or more execution agencies; scanning, using the APIs and according to the rules, the interface points of the two or more execution agencies, wherein the interface points are accessible through the interface management system; and migrating the interface points from the interface management system to a class library of the ICDIT such that when the ICDIT creates a rendering of the industrial plant facility, the interface points are mapped on the rendering according to up-to-date information based on the real-time activities of the two or more execution agencies.

Emulated facility safety with embedded enhanced interface management

An example network management apparatus is configured to continuously monitor an environment for a plurality of wireless signals transmitted by a plurality of wireless network devices, and determine first data regarding the wireless network devices, including identifiers of the wireless network devices, locations of the wireless network devices, and network configurations of the wireless network devices. Further, the network management apparatus is configured to access second data regarding physical characteristics of the environment, determining one or more modifications of the network configurations of the wireless network devices, and transmit one or more commands to the wireless network devices to modify one or more of their respective network configurations.

Systems and methods for managing devices on a wireless communications networks

Systems and methods are provided for network and obsolescence management. In one embodiment, a platform device is provided including a real-time system interface module (RSIM), a database module (DBM), a logic control module (LCM) and a reporting module (RM). The platform device collects data for network elements, systems, devices and network services, and examines the network elements and network service to generate a network obsolescence report. The platform device may output an obsolescence report including one or more obsolescence measurements. Processes are also provided for network and obsolescence management.

Systems, devices, and methods for network and obsolescence management

Systems and methods include a computer-implemented method: A first Safety Instrumented Function (SIF) determines that a process equipment event has occurred or is predicted to occur in a first system. A first action to be performed by the first SIF is identified. In response to determining that the process equipment event has occurred or is predicted to occur, the first action is performed by the first SIF to prevent an occurrence of a first hazardous event. A determination is made by a highly-reliable, self-healing communication transmission network that a second action is to be performed in the second SIF to prevent the occurrence of a second hazardous event. In response, a notification is provided by the transmission network to the second SIF that the second action is to be performed. In response to receiving the notification by the second SIF, the second action is performed by the second SIF.

Prevention of collateral process safety risks utilizing highly reliable communication through cloud IoT

In an example method, a first computer system accesses, via a first communication network, data for transmission to a second computer system, generates an optical representation of the data, and presents the optical representation of the data to the second computer system via a free space communications link. Further, the second computer system receives the optical representation of the data from the first computer system via the free space communications link, determines the data based on the optical representation of the data, and transmits the data to one or more additional computer systems via a second communications network.

Systems and methods for securely exchanging data between computer systems using free space optical communications

The present disclosure describes a computer-implemented method to manage an industrial plant facility, the method including: monitoring multiple streams of input data from a network of sensors at the industrial plant facility, wherein the network of sensors include one or more camera devices; determining, by a server computer, an event during construction or operation of the industrial plant facility based on analyzing the multiple streams of input data in real-time; and based on the determined event, generating a notification to alert at least one operator of the industrial plant facility.

Infrastructure construction digital integrated twin (ICDIT)

Some implementations provides a system to implement a safety control at an oil and gas facility, the system comprising: one or more motor control centers, each comprising a network interface, and a programmable logic controller (PLC), wherein each motor control center is configured to monitor and control one or more field devices coupled thereto, and wherein a plurality of field devices are dispersed at the oil and gas facility; and a safety instrumented system (SIS) in communication with the one or more motor control centers through the network interface thereof, wherein each motor control center is configured to communicate with the SIS without an interposing relay, and wherein the SIS comprises control elements configured to implement the safety control at the oil and gas facility based on communication with each motor control center through the network interface thereof.

Intelligent safety motor control center (ISMCC)

Systems and methods include a computer-implemented method for displaying future trends of evaporation pond wastewater quantity and quality. A distributed float network is managed using a wastewater evaporation pond management (WEPM) system with an embedded supervisory control and data acquisition (SCADA) system. The WEPM collects data, including sensory information, from evaporation ponds. A configuration data upload for remote terminal units (RTUs) managed by the WEPM is automated using the WEPM system and the embedded SCADA system. Evaporation pond wastewater quantity and quality and adherence to environmental standards and regulations are monitored using the WEPM system. Environmental compliance data is collected from the distributed float network. The environmental compliance data collected from the distributed float network managed by the WEPM system is analyzed. A dashboard is provided displaying future trends of the evaporation ponds wastewater quantity and quality.

Dynamic remote terminal unit (RTU) configurator assignment server enabled wastewater evaporation pond management system

Systems and methods include a method for protecting data for a remote terminal unit (RTU) and providing audit trail information for forensics procedures. Monitoring is performed for conditions detected at an RTU that warrant a data protection operation at the RTU. The monitoring is performed by an instrumented security function (ISF) chip communicating with the RTU in a supervisory control and data acquisition system (SCADA) network. Upon determining that conditions are warranted, the data protection operation is initiated by the ISF chip. The system also provides audit trail information for forensics procedures upon detecting a threat in the vicinity of the RTU. The system invokes the forensics procedure by initiating the localization services (HBL) embedded as part of the RTU's disk apparatus triggered by a change to the disk apparatus such as a power disconnect or by receiving a security signal from the NAC or local occupancy sensors.

Embedded data protection and forensics for physically unsecure remote terminal unit (RTU)

Systems and methods include a method for configuring, without intervention by a Control System Engineer, a remote terminal unit (RTU) in a 'raw' condition from a centralized system in a supervisory control and data acquisition system (SCADA) network augmented by authentication controls from existing Network Access Control or site occupancy sensors. An RTU configuration request is received to configure an RTU in a remote location and pre-configured with an embedded remote configuration assignment capability. A low-level communication channel with the RTU is established through an initial data communication relay apparatus for using a low-level communication protocol. A SCADA Communication Protocol address for the RTU to support a high-level communication channel is assigned. The RTU is connected to the SCADA network and configured for use in the SCADA network. Configuration is done using high-level communication after authenticating the identity of the RTU and the integrity of the configuration request.

Embedded dynamic configuration assignment for unprotected remote terminal unit (RTU)

A method of automated preventive and predictive maintenance for downhole valves in a well system includes receiving, at a plurality of first times, first diagnostics data of the plurality of downhole valves, where each downhole valve is at a respective first valve position at a respective first time, and the diagnostics data represents a valve condition of each downhole valve at a respective valve position and at a respective time. The method also includes receiving, at a plurality of second times, second diagnostics data of the plurality of downhole valves, where each downhole valve has been moved from the respective first valve position at the respective first time to a respective second valve position at a respective second time. The first diagnostics data and the second diagnostics data are compared. Based on results of comparing, a valve maintenance operation is selected for each downhole valve.

Automated preventive and predictive maintenance of downhole valves

The present disclosure describes methods and systems, including computer-implemented methods, computer-program products, and computer systems, for automating a proactive Safety KPI analysis. Correlated data related to a safety key performance indicator (KPI) is obtained from a correlation engine. A safety KPI prediction related to safety incidents, future safety trends, or future safety KPIs is generated based on the received correlated data and at least one safety KPI prediction model. The generated safety KPI prediction is transmitted to a proactive monitoring and alerting engine and a safety KPI alert is generated based on the safety KPI prediction, at least one alert threshold, and the at least one safety KPI prediction model. Transmission of the generated safety KPI alert is then initiated.

Automated safety KPI enhancement

A first message from a remote terminal unit (RTU) is received, where the first message indicates that a motion has been detected. In response to receiving the first message, a timer is started at a supervisory control and data acquisition (SCADA) server. Whether a personal identification number (PIN) verification and a radio-frequency identification (RFID) verification have succeeded is determined before the timer expires. In response to determining that at least one of the PIN verification or the RFID verification fails, a communication port connecting the RTU with the SCADA server is disabled.

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Dhahran, Saudi Arabia

Soloman M Almadi