• Post category:StudyBullet-21
  • Reading time:3 mins read


OpenCalc Spreedsheet

What you will learn

Introduction – Excel for Built Decline Curve Analysis

Excel Analysi and Prevision of Economic Data

Pivot Table Analysis of Oil Field Production Data

Forecast Price Oil&Gas in Excel Spreedsheet

Monitoring Pressure in Reservoir

Add-On Information:


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  • Course Caption: OpenCalc Spreadsheet
  • Master advanced data cleaning and validation techniques for ensuring the integrity of critical oil and gas datasets, from well completion reports to production logs.
  • Develop dynamic dashboards and interactive reports to visualize key performance indicators (KPIs) like well uptime and operational efficiency for immediate stakeholder insights.
  • Automate routine data consolidation and report generation using Excel’s built-in functionalities and an introduction to basic VBA macros, optimizing engineering time.
  • Conduct comprehensive operational expenditure (OpEx) and capital expenditure (CapEx) tracking for detailed budget variance analysis and robust cost control across projects.
  • Model and analyze equipment maintenance schedules and logistics data to optimize inventory, minimize downtime, and manage supply chain efficiency for field operations.
  • Perform statistical analysis on drilling parameters, such as rate of penetration and mud properties, to identify trends and improve overall drilling efficiency.
  • Evaluate the economic viability of potential oil and gas assets through sophisticated cash flow modeling, net present value (NPV), and internal rate of return (IRR) calculations.
  • Implement robust data management strategies for storing and retrieving vast quantities of historical production, well, and geological data within structured Excel workbooks.
  • Design custom templates for daily production reports and well intervention summaries, ensuring consistency and ease of data entry for field personnel.
  • Analyze Health, Safety, and Environment (HSE) incident data, identifying root causes, tracking safety metrics, and generating compliance reports for regulatory bodies.
  • Create sensitivity analyses for various economic and operational scenarios, helping decision-makers understand potential outcomes under different market conditions.
  • Utilize advanced lookup functions (e.g., INDEX/MATCH, XLOOKUP) and array formulas to efficiently cross-reference and extract specific information from complex, multi-sheet O&G databases.
  • Build visual representations of reservoir fluid properties or production profiles to support reservoir characterization and production forecasting efforts.
  • Develop systems for tracking lease agreements and royalty payments, ensuring accurate financial reconciliation and compliance with contractual obligations.
  • Conduct competitive landscape analysis by aggregating and interpreting publicly available data on rival companies’ production, reserves, and operational metrics.
  • PROS:
  • Gain highly practical, immediately applicable skills directly transferable to a wide range of roles within the oil and gas sector.
  • Enhance decision-making capabilities by transforming raw data into actionable insights for operational, financial, and strategic planning.
  • Leverage an industry-standard, cost-effective tool, reducing reliance on expensive specialized software for many analytical tasks.
  • Improve personal and team efficiency through data automation, streamlined reporting, and sophisticated analytical methodologies.
  • Strengthen your professional profile as a proficient data analyst capable of solving complex O&G challenges using a ubiquitous business tool.
  • Facilitate better cross-functional communication by creating clear, concise, and visual reports understandable across different departments.
  • CONS:
  • Excel’s inherent limitations in handling extremely large datasets or highly complex numerical simulations may necessitate dedicated engineering software for certain advanced scenarios, potentially requiring data transfer.
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