Murray Auchincloss
Management
Yes. Thanks, Lydia. Just on Bumerangue, I think the principal thing to focus on is that there's an awful lot of oil and condensate in the column. It's a large column. We've updated it from 500 meters to 1,000 meters based on the logs and the strong response we've got inside the logs and the samples. We do have the 100 meters of oil. We do have the 900 meters of rich gas condensate. That makes the CO2 manageable, although you might need a little bit more money for metallurgy. Obviously, you're going to get an awful lot better flow with CO2 in an oil condensate column. So we feel comfortable. We continue to think of it as the largest discovery in 25 years. We've obviously secured a rig to go appraise it and test it, and we feel that we're increasing the quality of this with the results that we're seeing out of the lab moving forward. And we'll, of course, update you on gas oil ratios and volumes when we're ready with it, Lydia. I think on AI, I do think we're making decent progress. A couple of quarters ago, I had Emeka talking to the sell side about what we're doing in AI. And all of you know that we've partnered with Palantir more than a decade ago inside the upstream to really get going on structuring our data and experimenting first with linear programming and then moving into AI more recently as that technology has emerged. I think the first thing to say is we feel well progressed on the data foundations, which is critical to making AI work. We've said that we'll have a unified data platform, not just across the upstream, but across the downstream, across trading, across finance, where working with Palantir and Databricks, we'll have an entire unified data structure sometime around the middle of next year that then allows us to use AI and the LLMs against all the data we have. That's quite exciting that we'll be in that position. It's all cloud-based, so accessible everywhere. And I think that will make us distinctive for having that type of data structure on topology. The actual examples of AI that we've got going around the company, I feel good about as well. Last quarter, I talked to you about kit detection, where the teams have worked with the LLMs to be able to predict kits ahead of meeting them while drilling in wells like far south in the Gulf of America, and we're at about 98% detection on kits. As well, you saw in these results, production is high. We've upgraded our production guidance for the year. Why? Because we're at nearly 97% availability in the upstream. That's the AI helping us predict faults before they occur, repair them before they occur along with all the investment in the hydrocarbon kit we've done. That 97% is a record across since merger time. So outstanding result. And we're also seeing that inside the wells. Wells are failing at a far less frequency than they were as the AI helps us manage pressure depletion inside our well stock. Another great example is well planning. The AI is enabling us to knock down well planning by 90% as it catalogs all the data, provide suggestions to the experts, and that's significantly increasing the speed with which we can plan wells. not only safely, but more efficiently. And then it's not just contained to the upstream. We're working very hard with Palantir and Databricks to work our way through refining in a few of our refineries. And in the customers business, there's an interesting example of an AI agent that's helping us in our service stations in Germany. We've trialed it with 20 service stations in Germany. It's been designed to help us manage our stock levels there to make sure that food isn't wasted, that we follow customer preferences for what they like to purchase and what they don't like to purchase. And that after 3 months in those 20 locations, they've knocked down waste by 45%. So we can see tremendous examples of improved uptime, improved performance, better capital efficiency through AI. And we're very excited about the opportunity this has as our data foundations get firmly in place. Thanks for the question, Lydia.