... natural language information extraction optical character recognition machine learning co 2 workflow application nlp automating carbon storage site assessment keyword production inc shell global solution us inc Introduction The IPCC (Intergovernmental Panel on Climate Change) and IEA...

... in the development of more efficient reservoir modelling workflows. Furthermore, these techniques were effective in overcoming challenges related to remote working, resource constraints, and contradictory field data. This paper introduces the Agile Project Management approach and shares experience of how it can...

... gas industry blockchain procedure personnel workflow Introduction The oil and gas industry are continuously transforming with more focus on artificial intelligence, machine learning, the internet of things, and distributed ledger technology such as blockchain could carry forward...

... and provide a workflow that can handle the entire process, including procedure creation or planning, reporting or execution, and data analysis of planned versus executed tasks. This portal will go a long way to help facilitate data analytics and data science trending without consuming further time collecting...

... approach that relies on complex finite-difference models to obtain oil profiles is time-consuming and often unable to provide a good match on a well-by-well level. The workflow developed here instead starts from the well-by-well level, using a Capacitance Resistance Model (CRM) and oil response type curves...

... are ranked based on the calculated average errors to find the best matching models. The outcome will be the composition variation vs. depth results for the best matching models with a number of user-specified models. The end-to-end workflow implemented in the E&P software plugin enables us to batch...

... exhibition condensate reservoir workflow integration upstream oil & gas data quality presented conference tripathi integrated model framework performance tracking complex reservoir well performance well performance evaluation giant gas condensate field optimization Introduction...

... minagish reservoir tracking movement mnmo reservoir injector pruthviraj kasaraneni injection efficiency deviation saturation waterflooding water management monitoring health workflow variation recycling retention Back Ground Middle-Minagish (MNMO) is a large Middle-East under...

... pressure transient data analysis. This paper consists of two parts. The first part describes the methodology of the proposed permeability calibration workflow and the second part introduces the application of the proposed approach on actual data of a field located in the Nile Delta basin. Methodology...

... dataset workflow machine learning technique conference Introduction Over the past decade and half, a number of papers have appeared in the literature with the objective of exploring the relation between recovery factor and the parameters that influence it. When possible, a relationship has been...

... in the subsequent stages of development of these critical assets. For each oilfield, an integrated static-to-simulation modelling workflow was built in collaboration with the relevant asset teams, capturing their knowledge and expertise in the generation of an ensemble of cases, equiprobable and plausible from...

... Reservoir models are often used to generate alternative forecasts but full uncertainty workflows are very time consuming and involve multiple disciplines. Abstract There are two main methods to incorporate uncertainties in the production profiles. The first option relies on multiple...

... analysis, thus more effort and time can be allocated to plan the way forward. The Machine Learning results will be further finalized at the next gate review, considering the project was initially proposed into several gates. Static modeling using Machine Learning, coupled with dynamic modeling workflow...

... interpretation and analysis workflow for formation testing data. We aim to leverage human-in-the-loop automation to an entire workflow using machine-learning (ML) algorithms, reducing turnaround time from weeks to minutes while also generating new insights. Using a combination of traditional and ML algorithms...

.... The workflow includes use of a distribution model that describes more than 50 PVT samples with widely varying gas-oil ratios and API densities, all from the same basin / field, and analyzed by several PVT laboratories over an entire decade. Examples show that a common distribution model reliably corrects...

... the uncertainties as a key element of the infill well placement workflow by computing probability maps to identify the hotspots with higher chances of success for infill production. The maps were still generated solely based on dynamic reservoir-simulation model results. In this paper we present an intelligent...

... environment which allows integration of the data and domain workflows. PTS enables the team to build and conduct their reservoir engineering dynamic studies in the cloud-based environment. Multiple reservoir simulation runs using the cloud numerical simulation engines are performed concurrently, providing...

... reservoir validator workflow phase allocation approach leak assessment engine asset and portfolio management engine module historical data platform eclipse oilfield field development plan high complexity dqi inconsistency Methods Used and Model Applied Several modules are developed...

...Introduction Abstract An adaptive differential evolution (DE) optimization algorithm and workflow are presented for non-uniform coarsening (NUC) of simulation grids resulting in smaller and faster models that maintain the key physics of the original model. The workflow presented here fully...

... disciplines and takes a long time to complete. In this work, a fully streamlined artificial intelligence (AI)-based workflow is introduced to facilitate horizontal opportunity identification by combining geological and engineering attributes in all types of reservoirs. This workflow relies on automated...