Turn your Data into Knowledge

Modularize your data for repeatable and accurate usage

Ad Ghauri

Current State Data Maturity

Data

Information

Knowledge

Inaccurate, redundant, duplicated, unreliable, and unknown data resides in ERP, MRP, MES, MRO, CAD, DCS, Simulation, Design & Engineering systems throughout enterprises

Required information exists in enterprises but is stored in multiple systems not linked to physical assets (Plants, Wells, Platforms) with little context of business and operating model?

Enterprise knowledge is not modularized to enable reuse and repurpose for new projects and information in not accessible in the form of knowledge for operations, training, and projects.

Future State Data Maturity

Data

Information

Knowledge

Take your overwhelming unstructured data from simulation, design, engineering, operations and maintenance systems Turn it into structured data while removing redundancies and inefficiencies.

Filter your structured data to purposeful information. Integrate this data into your business processes and assets by useful classification so that it becomes manageable and easily accessible.

Enable your employees, partners, and extended supply chain to easily access, re-use, share, and collaborate accurate information in business processes and applications with certainty

Take your overwhelming unstructured data from simulation, design, engineering, operations and maintenance systems Turn it into structured data while removing redundancies and inefficiencies.

Corporate data capture and re-

alignment

• Data from multiple systems and sources is often difficult to manage and control . Overwhelming data exchange across internal and external sources when captured and structured provides better control. Different disciplines value data differently and its value is realized when used with confidence. Corporate decisions are made based on its authenticity and accuracy.

• Multiple versions of data lead to time consuming and bad decision making. Obsolete data is not useful and is sometimes dangerous. • Embedded data in policy and procedural documentation needs to reflect plant as-builds. Otherwise regulatory, safety, environmental

and quality compliances across corporation may fail.

Engineering data

structuring in context of

plant

• Engineering data is created to meet business, operational, corporate or regulatory requirements. In turn driving one or more conceptual designs. Conceptual designs are refined enabling corporate to solicit and select the most efficient EPC to build engineer, procure, build and commission the plant. The engineering data is further created, updated and refined through FEED, EPC, and O&M phases by multiple organizations. It has the longest life, as if structured efficiently can be re-used beyond EOL of the plant. The plant design basis is continually updated to ensure that it reflects plant as-built. Structured data across multiple organizations ensures reliable, latest, and accurate data is transmitted and exchanged up and down the operational/engineering supply chains.

• Budgeted Deliverables, 3D Model, Parsed MTO, and Quantity Estimate are tracked in plant context & its phases.

Procurement data is driven

by construction timelines and

project controls

• Procurement data, onsite delivery and material management timelines are managed and aligned. Parsed MTO, ROS Dates, Prioritization and Material Receipt and Release are tracked in plant context & aligned across phases. Documentation created and managed for Bidders Lists, Purchase Order Pro-Forma, Contracts Pro-Forma and Transportation and Logistics. Documentation for Engineering Specifications, Engineering Quantities, Bid evaluations, and Contract award. Documentation for shop/site Inspections, Track Status, Expedite per ROS Dates. Documentation for Transport & Receive, Warehouse, Maintain, and Release to Construction.

• Construction & vendor lead times influenced by Engineering drive procurement process & data. It is crucial to order the correct materials on-time. Orders placed with obsolete Engineering design impacts cost and schedule.

Construction mirrors design and is driven

by project controls

• Construction data is created and updated mostly by field engineering. It is imperative to build as per design and update design as constructed, as there are multiple organizations using the same data. Construction data is created and update for construction & site layout plans, temporary facilities, structural concrete/steel, mechanical and electrical equipment, piping & instrumentation controls, plant turnover, startup & commissioning, performance testing, and finally plant/data handover to owner/end-user.

• Appropriate project controls enable cost, work, plant, and schedule breakdown structures are integrated and streamlined across all phases of Project Lifecycle and organizations involved. The data created and updated during this phase must be 100% aligned with project cost, schedule, work, and asset breakdown structures.

Operations and Maintenance requires data accuracy and

reliability strategies

• Many plants are built based on design basis that overtime has many as-built changes to meet geographical, regulatory and supply chain constraints. These as-builds should be kept up to date in corporate records to ensure complete alignment such that recall, warranties, and reliability is managed holistically. Issues in design, form, fit and function of equipment should not only be dealt locally.

• Safety, environment and regulatory compliance is maintained across the corporation and extended enterprise. Levels of modeling are progressively maturated from 2D Drawings and Sketches, 3D CAD Model with data attribute links, 4D Construction Simulation Model, through 5D Cost Tracking Model. As higher levels of data maturity impacts O&M exponentially.

Did you know that even today inaccurate, redundant, duplicated, unreliable, and unknown data resides in ERP, MRP, MES, MRO, CAD, DCS, Simulation, Design & Engineering systems throughout enterprises

Data to Information

Filter your structured data to purposeful information. Integrate this data into your business processes and assets by useful classification so that it becomes manageable and easily accessible.

Corporate information accessible across the enterprise

• Data from multiple systems and sources is often difficult to manage and control . Overwhelming data exchange across internal and external sources when captured and structured provides better control. Different disciplines value data differently and its value is realized when used with confidence. Corporate decisions are made based on its authenticity and accuracy.

• Multiple versions of data lead to time consuming and bad decision making. Obsolete data is not useful and is sometimes dangerous. • Embedded data in policy and procedural documentation needs to reflect plant as-builds. Otherwise regulatory, safety, environmental

and quality compliances across corporation may fail.

Engineering information available for application

• Engineering data is created to meet business, operational, corporate or regulatory requirements. In turn driving one or more conceptual designs. Conceptual designs are refined enabling corporate to solicit and select the most efficient EPC to build engineer, procure, build and commission the plant. The engineering data is further created, updated and refined through FEED, EPC, and O&M phases by multiple organizations. It has the longest life, as if structured efficiently can be re-used beyond EOL of the plant. The plant design basis is continually updated to ensure that it reflects plant as-built. Structured data across multiple organizations ensures reliable, latest, and accurate data is transmitted and exchanged up and down the operational/engineering supply chains.

• Budgeted Deliverables, 3D Model, Parsed MTO, and Quantity Estimate are tracked in plant context & its phases.

Procurement information and project

controls synched up

• Procurement data, onsite delivery and material management timelines are managed and aligned. Parsed MTO, ROS Dates, Prioritization and Material Receipt and Release are tracked in plant context & aligned across phases. Documentation created and managed for Bidders Lists, Purchase Order Pro-Forma, Contracts Pro-Forma and Transportation and Logistics. Documentation for Engineering Specifications, Engineering Quantities, Bid evaluations, and Contract award. Documentation for shop/site Inspections, Track Status, Expedite per ROS Dates. Documentation for Transport & Receive, Warehouse, Maintain, and Release to Construction.

• Construction & vendor lead times influenced by Engineering drive procurement process & data. It is crucial to order the correct materials on-time. Orders placed with obsolete Engineering design impacts cost and schedule.

Construction is done right first

time and on time

• Construction data is created and updated mostly by field engineering. It is imperative to build as per design and update design as constructed, as there are multiple organizations using the same data. Construction data is created and update for construction & site layout plans, temporary facilities, structural concrete/steel, mechanical and electrical equipment, piping & instrumentation controls, plant turnover, startup & commissioning, performance testing, and finally plant/data handover to owner/end-user.

• Appropriate project controls enable cost, work, plant, and schedule breakdown structures are integrated and streamlined across all phases of Project Lifecycle and organizations involved. The data created and updated during this phase must be 100% aligned with project cost, schedule, work, and asset breakdown structures.

Operations and Maintenance is safer and more

reliable

• Many plants are built based on design basis that overtime has many as-built changes to meet geographical, regulatory and supply chain constraints. These as-builds should be kept up to date in corporate records to ensure complete alignment such that recall, warranties, and reliability is managed holistically. Issues in design, form, fit and function of equipment should not only be dealt locally.

• Safety, environment and regulatory compliance is maintained across the corporation and extended enterprise. Levels of modeling are progressively maturated from 2D Drawings and Sketches, 3D CAD Model with data attribute links, 4D Construction Simulation Model, through 5D Cost Tracking Model. As higher levels of data maturity impacts O&M exponentially.

Did you know that even today the required information exists in enterprises but is stored in multiple systems not linked to physical assets (Plants, Wells, Platforms) with little context of business and operating model?

Information to Knowledge

Did you know that information is classification of data enabling quick and relevant access at the time of need

and application.

Categorization of information transformation into knowledge across different organizational disciplines helps to gage importance of influential data and how

to best access it.

Enable your employees, partners, and extended supply chain to easily access, re-use, share, and collaborate accurate information in business processes and applications with certainty

Corporate knowledge is used, reused, and trusted

• Data from multiple systems and sources is often difficult to manage and control . Overwhelming data exchange across internal and external sources when captured and structured provides better control. Different disciplines value data differently and its value is realized when used with confidence. Corporate decisions are made based on its authenticity and accuracy.

• Multiple versions of data lead to time consuming and bad decision making. Obsolete data is not useful and is sometimes dangerous. • Embedded data in policy and procedural documentation needs to reflect plant as-builds. Otherwise regulatory, safety, environmental

and quality compliances across corporation may fail.

Engineering knowledge is

accessible real-time for training,

analysis, and execution

• Engineering data is created to meet business, operational, corporate or regulatory requirements. In turn driving one or more conceptual designs. Conceptual designs are refined enabling corporate to solicit and select the most efficient EPC to build engineer, procure, build and commission the plant. The engineering data is further created, updated and refined through FEED, EPC, and O&M phases by multiple organizations. It has the longest life, as if structured efficiently can be re-used beyond EOL of the plant. The plant design basis is continually updated to ensure that it reflects plant as-built. Structured data across multiple organizations ensures reliable, latest, and accurate data is transmitted and exchanged up and down the operational/engineering supply chains.

• Budgeted Deliverables, 3D Model, Parsed MTO, and Quantity Estimate are tracked in plant context & its phases.

Procurement knowledge

fully embedded in

project controls

• Procurement data, onsite delivery and material management timelines are managed and aligned. Parsed MTO, ROS Dates, Prioritization and Material Receipt and Release are tracked in plant context & aligned across phases. Documentation created and managed for Bidders Lists, Purchase Order Pro-Forma, Contracts Pro-Forma and Transportation and Logistics. Documentation for Engineering Specifications, Engineering Quantities, Bid evaluations, and Contract award. Documentation for shop/site Inspections, Track Status, Expedite per ROS Dates. Documentation for Transport & Receive, Warehouse, Maintain, and Release to Construction.

• Construction & vendor lead times influenced by Engineering drive procurement process & data. It is crucial to order the correct materials on-time. Orders placed with obsolete Engineering design impacts cost and schedule.

Construction is modularized

based on global design

• Construction data is created and updated mostly by field engineering. It is imperative to build as per design and update design as constructed, as there are multiple organizations using the same data. Construction data is created and update for construction & site layout plans, temporary facilities, structural concrete/steel, mechanical and electrical equipment, piping & instrumentation controls, plant turnover, startup & commissioning, performance testing, and finally plant/data handover to owner/end-user.

• Appropriate project controls enable cost, work, plant, and schedule breakdown structures are integrated and streamlined across all phases of Project Lifecycle and organizations involved. The data created and updated during this phase must be 100% aligned with project cost, schedule, work, and asset breakdown structures.

Operations and Maintenance is more proactive

and less reactive

• Many plants are built based on design basis that overtime has many as-built changes to meet geographical, regulatory and supply chain constraints. These as-builds should be kept up to date in corporate records to ensure complete alignment such that recall, warranties, and reliability is managed holistically. Issues in design, form, fit and function of equipment should not only be dealt locally.

• Safety, environment and regulatory compliance is maintained across the corporation and extended enterprise. Levels of modeling are progressively maturated from 2D Drawings and Sketches, 3D CAD Model with data attribute links, 4D Construction Simulation Model, through 5D Cost Tracking Model. As higher levels of data maturity impacts O&M exponentially.

Did you know that even today the information in enterprises is not modularized to enable reuse and repurpose for new projects? And information in not accessible in the form of knowledge for operations, training, and projects.

Knowledge to Business Intelligence

Did you know that Knowledge is lost by companies every day as one or more of their employees leave the

company

The business intelligence tell us where and what is happing and provides trends for how to best apply

what we know and what we don’t…

Data transformation

Data Information Knowledge

What should go here? What do you think knowledge is? Is knowledge an application of information gained from experience? Or is it where data is used as information to make decisions based on experience?

Facts, information, and skills acquired by a person through experience or education; the theoretical or practical understanding of a subject.

Awareness or familiarity gained by experience of a fact or situation.

Definition from Google.com