• Our Story

    Wells have a life. They go from an idea, to a hole in the ground. This hole produces oil or gas for a time and then eventually the production stops. Often when the well stops producing, an intervention is done to get the well producing again. Finally, when the reservoir pressure is too low and artificial lift techniques are too costly, the well is abandoned.

    This timeline can span decades. WellLine (powered by Maana) allows petro-technical engineers to see all of the events in a timeline regardless of where the data is stored. The data needed to pull this information together can exist in multiple databases, documents and log files.

    WellLine has the ability to integrate this data and develop data event miners that can extract the events and present them on a timeline and connect them all together. An event might be a non-productive time event, casing being run, an intervention to perform an acid job, a production failure, etc. If you can define the event WellLine can find it in all of your wells.

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  • Our Vision

    Everything is connected, if you could only uncover these connections you could make better decisions about what to do; how will this action will ultimately affect that result? Based on knowledge models of your business and very large amounts of historical data and computing power, we want to connect it all.

    We want to use this knowledge model to help your people make smarter, better decisions, and know the outcomes of those decisions. This allows us to improve the underlying algorithms that make recommendations in the first place, ensuring they improve over time—and with them, so will your bottom line.

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  • Team

  • Jeff Dalgliesh

    Jeff Dalgliesh

    Founder

    Jeff Dalgliesh leads Maana’s technology offering for the Oil and Gas industry. He works with the world’s largest oil and gas companies to help them implement their digital transformation strategy. Jeff has recently introduced the “WellLine” application which provides a revolutionary approach to knowledge management of Well operations. WellLine is an Oil and Gas specific Maana Well Knowledge Graph that leverages Maana underlying graph technology to influence operational decisions about wells. The WellLine Knowledge Graph is built by ingesting well databases and well documents into a Maana Knowledge Graph designed for optimizing wells. We leverage machine learning, artificial intelligence and natural language processing in our models.

    Prior to joining Maana in 2014, Jeff worked for Chevron for 18 years. Jeff was a technology innovator and leader, managing the global technology development and deployment of Chevron’s Drilling and Completions technology systems used by over 3000 people in 14 different countries. Jeff managed the worldwide data quality and information management efforts for Chevron’s Drilling and Completions groups.

    Jeff holds a Bachelor’s of Science degree in Computer Science from University of British Colombia in Canada and has co-authored two SPE papers related to using artificial intelligence to understand risk in the oil industry. “SPE- 163684-MS Upstream E&P and Drilling Safety Optimization - Lessons from the BioPharma R&D Industry: A Role of Translational Analytics and Informatics”, and “SPE-181015-MS Natural Language Processing Techniques on Oil and Gas Drilling Data”

  • Allen Jones

    Allen Jones

    Founder / Chief Technology Officer

    As Chief Technology Officer, Allen Jones leads platform architecture, manages software engineering and ensures product quality standards. With 25 years of experience, Allen has held a number of senior technical leadership, strategy, architecture, and incubation roles, serving a range of multinational organizations as well as technology start-ups in sectors such as banking, oil and gas, corporate strategy, and personalization. Previously, Allen founded Microsoft’s Personal Cloud Project as a joint incubation project between Microsoft Research and the Online Services Division (Bing). He also worked at Microsoft Fuse Labs where he led the development of solutions that blend human, computational, and social intelligence.

    Prior to Microsoft, Allen co-founded QuantumBlack, a creative data science agency that merges data analytics, visualization, and strategy to help clients use data to make timely and insightful business decisions. He was also the director of development and chief architect at SmithBayes, a joint venture with McLaren F1 Racing Group that leveraged Formula 1 race strategy software to create a platform for agile strategic decision-making in large enterprises.

    Allen holds a Master of Science with honors in Software Engineering from the University of Oxford. He is also the author of ten books covering .NET and Java software development.

  • Justin Schmauser

    Justin Schmauser

    Product Manager

    As product manager, Justin connects with all stakeholders to ensure new and ongoing product efforts are gathered, executed, and delivered with success. He has led several successful projects for one of the company’s largest clients while in his previous role as a Customer Solutions Analyst, including moving to London for several months of side-by-side collaboration. Current team needs have him utilizing his background in data analytics, orchestrating and executing the processing of data which fuels the product’s user experience.

    Past roles include technical project manager at a Seattle startup, leading a group of teams in successful creation of company’s largest healthcare product offering which integrated real-time and batch data to power multiple applications. Historical work has incorporated heavy use of unstructured text processing—including utilization of many natural language processing (NLP) techniques—as well as the application of iterative machine learning approaches.