Finance

Downstream Gas Allocation

Cloud-IoT
In the oil and gas industry, the process flow of downstream operation is essential, beginning from the source all the way to the distribution channels. Hence, management plays a pivotal role in deploying checkpoints to plan and monitor these processes in an optimal manner. This practice currently involves managing and analyzing data through deployment of solution systems and spreadsheets, which is limiting the management's capabilty to support the busines operation.

The Downstream Gas Allocation model enables oil and gas players to shift from rigid solution systems and two-dimensional spreadsheets to a dynamic integrated platform where the process flows can be managed more efficiently. This solution provides users with the flexibility to manipulate and test key drivers contibuting to the complex business process, thereby empowering users to be self-sufficient in the management of their own solutions. Additionally, updates to key drivers and the impact to the entire pipeline can be seen on-the-fly, which helps users analyze situations and better inform strategies.

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Features

Collaborated Effort
  • Management can set top-level budgets for gas processing volume to all gas fields based on expected market demand
  • Operation managers can allocate quotas for gas processing volume by quarters and months based on budgets determined by the management
  • Map the distribution flow of gas from gas fields to gas terminals based on extracting schedules
  • Map the distribution flow of gas from gas terminal to gas processing plants based on processing schedules
Detailed Analysis
  • Analyze composition of gas type in each gas field to optimize the volume of gas to feed to gas terminals for processing based on quotas set by management
  • Analyze remaining volume and type of gas for each gas terminal to plan for future extracting and processing schedules
  • Analyze inventory and processing capacity to decide on whether to outsource or increase internal capacity to achieve expected market demand
Integrated Operations
  • Set maximum capacity and recovery rate for all sub-plants which links the processing capacities of the main gas processing plant
  • Flexibility to divert distribution flow for gas within the gas processing plant without disrupting processing capacity
  • Review the processing capacities of gas processing plants and their sub-plants to plan for future processing schedules
Flexible Configurations
  • Track the volume of gas to be extracted from gas fields by various time periods (e.g. hour, day, month, etc.)
  • Shift between various measurement systems to get a wholistic overview of the volume and type of gas in each of the gas fields with the conversion engine in this model

Cloud-IoT

Cloud-IoT is a boutique management consulting firm focusing in the area of Advanced Analytics and Big Data. We help our clients develop Advanced Analytics strategies and derive competitive advantage from their current data assets.

Deliverables are achieved with revolutionary and innovative cloud-based platforms, such as Anaplan and Tableau, for lower cost of ownership and faster deployment, meaning more efficient return on investment. We apply the Science-to-Business (“S2B”) approach by developing and proving models to succeed for our partners.

Our team of consultants possesses the expertise to equip organizations with capabilities to build and manage the Centre of Excellence for Advanced Analytics and implement strategies by constantly improving operational processes via change management, called “Results Delivery”.

Website
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B-03-01, CoPlace 2, 2260, Jalan Usahawan 1

Cyberjaya

63000

Selangor, Malaysia

Email
ramesh@cloud-iot.net

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