How can you communicate drilling data analysis results?
Drilling data analysis is a crucial process for optimizing well performance, reducing costs, and enhancing safety. However, it is not enough to just collect and process the data; you also need to communicate the results effectively to different stakeholders, such as managers, engineers, drillers, and clients. In this article, you will learn some tips and best practices for presenting and sharing your drilling data analysis results in various formats and contexts.
The first step to communicate your drilling data analysis results is to understand your audience and their needs. Different stakeholders may have different levels of technical knowledge, interests, and expectations from your analysis. For example, managers may want to see the overall impact of your analysis on the project goals, budget, and schedule, while engineers may want to see the details of the data sources, methods, and assumptions. Drillers may want to see the practical implications of your analysis for their operations, while clients may want to see the value and benefits of your analysis for their business. Therefore, you should tailor your message, language, and visuals to suit your audience and their objectives.
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Mauro Sobreira
Fast paced industry like O&G requires concise, straight to the point information - on the rig, you will want to monitor a few things that will guide decision making - more is less…
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Aditya Vyas
Team Lead at Deloitte | MEM Graduate Student @ Duke University | Ex-Management Intern @ TechM | Ex-Systems Engineer @ TCS | Actively searching for full-time roles in Consulting, Management, and Analytics
I agree. It depends on who you are presenting the data too. If it's to a technical data science team or an engineering team, you can explain the method of analysis you used to derive the drilling data. Contrastingly, if it's an executive level presentation, you would only have to show the outcomes/results, as that's what they care about the most!
The next step to communicate your drilling data analysis results is to choose the right format for your presentation or report. Depending on your audience, purpose, and context, you may use different formats, such as slides, dashboards, tables, charts, graphs, maps, or animations. You should select the format that best conveys your key findings, insights, and recommendations, while avoiding unnecessary clutter, complexity, and confusion. You should also consider the technical capabilities and preferences of your audience, such as whether they can access online platforms, interactive tools, or mobile devices.
The third step to communicate your drilling data analysis results is to use clear and concise language that explains your analysis in a logical and coherent way. You should avoid jargon, acronyms, and technical terms that may confuse or alienate your audience, unless you define them clearly and consistently. You should also use simple and direct sentences that highlight the main points, facts, and evidence of your analysis, while avoiding vague or ambiguous expressions, opinions, or assumptions. You should also use transitions, headings, and summaries to guide your audience through your analysis and help them follow your reasoning and conclusions.
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Aditya Vyas
Team Lead at Deloitte | MEM Graduate Student @ Duke University | Ex-Management Intern @ TechM | Ex-Systems Engineer @ TCS | Actively searching for full-time roles in Consulting, Management, and Analytics
I agree, for executives you have to show them what the company will gain from this data analysis. Mainly, they are only concerned about financing growth and revenue improvement.
The fourth step to communicate your drilling data analysis results is to visualize your data in a way that makes it easy to understand, compare, and interpret. You should use appropriate and consistent colors, shapes, sizes, scales, and labels to represent your data and highlight the patterns, trends, relationships, and outliers. You should also use titles, captions, legends, and annotations to provide context and explanation for your data visualizations. You should also avoid misleading or distorted visualizations that may misrepresent or exaggerate your data and confuse or deceive your audience.
The fifth step to communicate your drilling data analysis results is to provide context and interpretation for your data and visualizations. You should not just show the data, but also explain what it means, why it matters, and how it relates to the problem, question, or goal of your analysis. You should also provide comparisons, benchmarks, and references to show the significance, relevance, and validity of your data and analysis. You should also provide insights, implications, and recommendations based on your data and analysis, and show how they can help your audience achieve their objectives or solve their challenges.
The final step to communicate your drilling data analysis results is to invite feedback and questions from your audience. You should not just present your analysis as a final and definitive answer, but as a starting point for further discussion, collaboration, and improvement. You should encourage your audience to share their opinions, perspectives, and experiences, and to ask questions, doubts, or clarifications about your analysis. You should also be prepared to answer their questions, address their concerns, and acknowledge their suggestions, and to show how you can incorporate their feedback and questions into your analysis or future actions.