In complex upstream operations, multiple challenges require predictive scheduling systems to ensure efficient production. Weather variability impacts schedules, demanding real-time forecasting and contingency planning to prevent disruptions. Equipment downtime is another critical issue, where continuous monitoring and optimized maintenance help reduce delays. Resource allocation needs precise, flexible decision-making, adapting to shifting conditions. Moreover, remote site challenges add logistical constraints due to limited infrastructure, impacting transportation, communication, and supply chains.
Additionally, data management is crucial, as vast sensor and equipment data volumes need to be processed for optimized scheduling and improvement opportunities. Effective stakeholder coordination is essential, involving operators, contractors, suppliers, and regulatory bodies to enhance collaboration. Regulatory compliance imposes strict environmental and operational requirements that must be adhered to. Finally, risk management involves handling geological uncertainties, market volatility, geopolitical instability, and safety risks, all of which inherently increase the challenges in upstream operations.
IFWP is an application for automatic scheduling of all types of asset operational activities for the short-term planning horizon (year, 90 days, month, 2 weeks).
Our proprietary upstream operations schedule optimization engine drives efficiency and significant cost savings as well as reduction of deferments through optimization of integrated schedule of WI/WO, maintenance and other essential field operations. Upstream Field Work Program Management Solution from TerraLink supports end-to-end integrated planning business process with all accompanying it subprocesses such as operations definition, scope of work, budget estimation and expense approval in integration with SAP back office and, finally, till field work program scheduling and execution.
O&G Upstream Production AI Planner
Modular approach
The modular method to working with IAF is user-friendly and covers all the system's business operations. Faster project implementation and software upgrades. Connect with third-party solutions using a single API.
Event management
Activities are presented in a separate window, and their settings are adjusted there. It is now feasible to stay close to the source while regulating the subsequent workflow.
Automation
Software modules for calculating production parameters are triggered automatically when source data is refreshed for the set time interval.
Production forecast
Developing an integrated plan for allocating resources, equipment, and materials to accomplish the business plan's objectives
Horizons
Onshore and offshore operational planning for multiple periods (CAPEX, OPEX, Annual, Monthly, Daily)
Production forecast
Developing an integrated plan for allocating resources, equipment, and materials to accomplish the business plan's objectives
Real time data
Manufacturing and technological data available in real time.
Data available anywhere
Information is available anywhere, at any time. Data management is feasible across scattered production holdings.
This solution integrates embedded optimization algorithms to align operational programs with strategic goals, including production targets, technical constraints, deferments, and budgets. It provides a unified plan that allocates resources, equipment, and materials while leveraging AI to assess load, forecast production and deferments, and conduct target analysis and scenario optimization. At the operational level, daily planning is based on recent data, while short-term adjustments optimize production based on deviations from the annual plan and new quarterly inputs. The mid-term focus addresses the annual business plan, and long-term planning supports production profile justification along with CAPEX and OPEX projections.
Improved Engineering Efficiency
Streamlined workflows, advanced technology adoption, and collaborative problem-solving approaches, resulting in accelerated project timelines and optimized resource utilization
Reduced planning time and operational costs
Implementation of automated scheduling algorithms and data-driven decision-making processes, leading to optimized resource allocation and increased operational efficiency..
Deferment reduction
Proactive maintenance strategies and optimizing asset management practices to minimize unplanned downtime and maximize production uptime
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