 Hello, my name is Christopher. There we go. I'm the Director of Digital Transformation Solutions here at Icon Science. Today, I'd like to talk about how Icon Science, we're utilizing OSDU to ensure that our key personas are able to leverage technological advancements in the industry to add additional value to their organisations through improved insight generation and decision making. Icon Science is over 20 years experience providing software solutions to geoscientists and subsurface specialists within the energy industry. Our software aims to improve characterisation of the subsurface, ultimately leading to better decisions during the drilling, completion and production process. Our aim is to continue generating this software, but harnessing the data-centric infrastructure of OSDU to improve efficiencies and understanding of the subsurface. By applying software which promotes accessibility, confidence and functionality on top of OSDU, our aim is to promote widespread adoption of the platform through our key user personas and thus grow the consortia both in awareness and size as adoption increases. Assets within the oil and gas industry typically have a lifespan of many decades and during this process there will be many rounds of data acquisition either through seismic, drilling or other means. Interpretations are constantly being reworked with new information and as new understanding of the asset is created and ultimately this means that we have multiple competing versions of the truth. Typically within geoscience domains, certain information will be vetted and understood to be of a higher quality. This information will then be brought together into a series of silos, either built around a single application or built around a certain workflow. This results in a series of duplicated instances of information and as new geoscientists come onto the asset, that typically is a long ramping up period of understanding what information exists and what information could be used. We understand from speaking with many of our clients within the industry that many end users spend up to 50% of their time searching, manipulating and verifying information before they can utilize it. Data platforms such as OSDU enable us to move away from this way of working by providing a single source of data across an entire corporate environment. This means that rather than having to go to multiple different locations, users can be provided all the information. However, for users to add value to an organization, having data by itself is not enough. We need to be able to first turn that data into information. That information then becomes knowledge of the subsurface and of the various technical challenges facing us and then we're able to apply value by overcoming those challenges and feeding into the decision making process. This process of context requires us to have some additional functionality on top of just having access to the data. We can do that by promoting familiarization of the data. This is being made aware of what information is contained within the repository. Having confidence in the data to understanding whether the data is something which is going to add value to a workflow, whether it's the highest quality data available to them at a given time. And also providing the appropriate tools, ensuring that users can engage their geoscientific skillset in order to be able to understand not just whether the metrics of the data make sense, but from a geological interpretation, whether this data is going to add value to their workflows. At IconScience, we provide this contextualization for our knowledge management tool, Curate. Curate is entirely cloud native and sits on top of OSDU, streaming data directly from the platform without the need to store it internally. Contextualization services may be configured to apply additional business and quality roles which are visualized in the Curate product. A series of apps provide visualization of the data, ensuring geoscientists can view this information through familiar representations, be that well, seismic, map or regional views. So let's take a look at some of that functionality in action. Curate streams data directly from OSDU without running to its own database. Users can interact with the information contained within. They can understand the metadata stored in OSDU. They have the ability to explore further into data items such as exploring logs and markers that belong to individual parent wells. Users have the ability to search on any metadata stored within OSDU, such as textual searches, Boolean logic and also dates and numerical searches. Users also have the ability to select a number of data items using the freehand selection tools. Once these are selected, they have the ability to do a further investigation of the information contained within. They also have the ability to create projects to enable them to create selections of data and invite other users to be able to see the same visualizations. Users can select from numerous projects or they can create visualizations across wells, seismic and through regional studies as well. As you can see, our focus this far with OSDU has been on promoting data discovery, display and distribution. With much of this functionality complete and available to our client base, we now focus on our future development roadmap. As an ISV, OSDU enables us to focus on providing additional, very generating workflows and functionality in our tool set, by reducing the emphasis for icons to create and manage bespoke application adapters. As a result, our focus moving forward is on further increasing the usability of OSDU for our end user community and we aim to do this by promoting further data quality and value generation workflows. For data quality, we aim to increase the communication of this quality to end users. A consequence of exposing users to a corporate data set is the potential for ambiguity over data quality and reliance on end users to provide much of this through manual workflows. Obviously, this is inefficient and goes against much of the automation drive which is key to the industry. To overcome this, we're currently working with our cloud platform partner, AWS, to implement our existing QC and data cleanup as part of an ingestion service into OSDU. We aim to bring life to many of the standards that have already been donated to OSDU and further prove the value of the platform to our user community. We aim to provide key metadata that can promote Geoscience specific quality indicators that may be used as part of workflows for all applications integrated to OSDU, whether provided by ICONScience or any other ISV. As part of our continued development workflow, we're also rolling out more applications with a focus on increasing knowledge creation from subsurface data. We have a number of cloud native applications which have already been created and our aim now is to ensure compatibility of these workflows as OSDU data support increases. These workflow apps continue our data screening methodology but also promote additional data generation which must be captured by OSDU for further work in other applications. In the remaining time available, I'd like to focus on our upcoming initiative which is to promote data ingestion for complex data types. This is something that we've just started working on. In order to continue to grow OSDU, we believe that it's important as a community that we're just two challenges regarding data population. These being variety of supported data types and data quality. Working with AWS, we will marry donated data standards with our own proprietary cleanup technology to promote a singular data format for complicated data types such as call data. Handling of call data has been non-standard within our industry for many years with individual applications and vendors communicating the same information in very different file types and formats. This increases the barrier to use as data is often have to be exported, reminipulated and then re-imported and it reduces the utilization rate and the return on investment of this high resolution data type. Our proposed workflow which is currently being worked on is to utilize our existing data cleanup workflows to firstly identify bulk data types and then apply business and QC rules before finally utilizing AWS ingestion services to load this data into OSDU. Through this workflow we hope to define standard data formats that can be utilized by integrated OSDU applications and increase the usage of this valuable but often underused data type. As only high quality data would be ingested through this workflow it also promotes confidence in the content and the platform as a whole by our Geoscience user base. We hope to be able to share a result of this initiative soon. In summary, Icon Science continues to be committed to OSDU and sees it as a key industry initiative which can improve the efficiency and quality of geoscientists and subsurface engineers workflows. We believe that tools which provide context of the information OSDU for individual user groups is key to enabling adoption and proving the business value of the platform as a whole. We continue to work with our partners to increase our integration and functionality with regards to OSDU and we look forward to continue on these workflows in the coming months. I'd like to thank you all for your time today and I wish you to reach out with any questions you may have. Either now or please feel free to reach out to me using my contact details on this slide. Many thanks.