Diagnostic Analytics Tools to Identify Opportunities
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- Clifford Goodwin
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1 Diagnostic Analytics Tools to Identify Opportunities PASC Education Day, May 15 th, 2014
2 Presentation Overview Introduction to VISAGE Production Trends in the WCSB What challenges do Petroleum Producers face? Why analytics are so important to cash flow How to structure your Diagnostic Workflows Quantify your analysis with Diagnostic Measures Applying your Diagnostic Workflows to Production Performance Financial Performance Performance to Plan/Forecast
3 Introduction to VISAGE VISAGE was founded 9 years ago Niche Oil& Gas BI Solution focused on Interactive Visual Analytics We connect to any data source (proprietary or vendor data e.g. public data, frac data etc.) Our clients are E&P from start up to >150,000 BOE/day Reserves Evaluation firms Banks, Research Groups We re in the business of making sense of data
4 Production Trends in the WCSB
5 Production Trends in the WCSB
6 Production Trends in the WCSB
7 Production Trends in the WCSB McMurray
8 Production Trends in the WCSB
9 Production Trends in the WCSB
10 Oil Price Fluctuations (Last 10 years)
11 Oil Price Fluctuations (Last year)
12 Gas Price Fluctuations (Last 10 years)
13 Gas Price Fluctuations (Last year)
14 What challenges do Petroleum Producers face? Low Gas price, Oil price fluctuations Wells are more expensive to drill Well Count per Engineer is higher Strive for growth with less resources Predictable cash flow Too many spreadsheets
15 How can they face these challenges? You can t look at everything every day, but you can quickly identify the greatest opportunities by using tools like visual analytics.
16 Analytics Are Important to Cash Flow Production Performance (daily surveillance) reduce downtime impacts on production identify, prioritize and act quickly Financial Performance (monthly surveillance) understand & minimize Operating Expenses ensure Net Operating Income is optimized Performance to Plan (constant surveillance) minimize reserve write-downs early ensure cash flow is available to support upcoming activities
17 How to Structure Your Diagnostic Workflows 1) Identify & Prioritize Categorize to help you understand the opportunities Focus on the opportunities with the biggest impact 2) Inform & Assess What is the cause?. Can I do anything about this? 3) Investigate Support any decision/actions with the necessary detail
18 Quantify your analysis with Diagnostic Measures Example: Production & Downtime Hours without Diagnostic Measures there is limited insight
19 Quantify your analysis with Diagnostic Measures Lost Production Production Example: Lost Production = Diagnostic Measure The production impact of downtime is now quantified
20 Example 1: Production Performance Diagnostic Measure used in selection criteria
21 Example 1: Production Performance Categorize to help you understand, identify & prioritize
22 Example 1: Production Performance Identify & prioritize
23 Example 1: Production Performance Inform and Assess
24 Example 1: Production Performance Investigate
25 Example 2: Financial Performance Categorization would help
26 Example 2: Financial Performance Identify & prioritize
27 Example 2: Financial Performance Inform and Assess
28 Example 2: Financial Performance Investigate
29 Example 3: Performance to Plan Identify & prioritize
30 Example 3: Performance to Plan Inform and Assess
31 Example 3: Performance to Plan Investigate
32 Other Examples
33 Royalty as a % of Revenue
34 Variations in Realized Oil Price
35 Other Examples - Shrinkage - Liquid yield - Sales Estimation accuracy - AFE to Actual - Gas Processing Fees - No Revenue but has Opex - Well Servicing vs Netback - Transportation suggestions anyone?
36 Presentation Summary Introduction to VISAGE Production Trends in the WCSB What challenges do Petroleum Producers face? Why analytics are so important to cash flow How to structure your diagnostic workflows Quantify your analysis with Diagnostic Measures Applying your diagnostic workflows to Production Performance Financial Performance Performance to Plan/Forecast Other examples
37 Thank you! - PASC for inviting me - IHS (for the Information Hub access) - GLJ (for access to their price data)
38 My contact information
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