Enterprise Data Management’s (EDM) Log Management solution empowers E&P companies to unlock the value of their log data and accelerate discovery via an intuitive user interface.
EDM for Energy: Log Management
Exploration and development decisions rely on interpretations that are based on log data. Locating and assessing the full scope of data available across proprietary, vendor and edited inventories are daunting and typically manual tasks. Assembling a dataset for interpretation is often one of the most time-consuming aspects of valuing assets and identifying targets.
Firms often rely on basic file naming conventions to determine the contents of raster and digital log data. This results in extensive manual inspection of the contents and loading data into applications for review, which creates little value and negatively impacts application performance.
With its dynamic data model, EDM’s Log Management solution allows firms to unlock the value of their log data assets and accelerate discovery via an intuitive user interface. By exposing the breadth of that data, users can quickly query aspects such as curve types, data coverage, source, audit history and data currency, selecting data as required and exporting data that is application-ready.
Business rules are implemented to solve data quality issues by identifying and automatically correcting prevalent errors, such as incorrect units of measure, missing units, unknown mnemonics and improper value ranges. Log processing can also be used to reclassify mnemonics, add audit tags or even normalize curve values, making the data user-ready.
EDM can be implemented on-premise, in-cloud or as a managed service leveraging industry-leading cloud technology and application management capabilities. The latter option enables firms to reduce implementation times, future-proof and outsource many human resource-intensive tasks.
EDM provides a single end-user view for query and analysis beyond log data. This includes well header, production, cores, directional surveys, seismic, formations and rigs.
By appending important additional information (such as vintages, the time of the last update, file location, associated documentation, historical transformations and normalizations), EDM gives users comprehensive information about the data. This improves search and query capabilities.
Enterprise data dictionary and glossary
Users can leverage a centralized metadata repository to accelerate the mapping, classification, validation and integration of log data.
Alerting and straight-through-processing
Event-driven alerts inform users when a new log file is available or changes in status, as well as when updates have occurred. Straight-through-processing (STP) automates log processing, including consumption, normalization, quality control, exception management and delivery to consuming applications.
Mr. Amery heads the rapidly growing EDM for Energy business with operations in North America, Europe, the Middle East and Asia. Prior to joining IHS Markit, he held sales management roles at energy and commodity technology firms including Triple Point Technology, Updata and Trayport where he was responsible for client growth and launching new products and services. Before this, he founded his own technology and media company following work at JP Morgan and Schroders Investment Management.
At IHS Markit, she leads a global team of consultants who are responsible for the delivery of software solutions and other types of professional services to IHS Markit customers worldwide in Financial Services, Energy and Maritime & Trade. Ms. Isajenko and her team are passionate about delivering best-in-class customer experience. Through professional services engagements, they help IHS Markit customers improve operational flows; increase the quality and timeliness of reporting; and make efficient decisions based on high-quality data.Prior to joining IHS Markit in 2018 as EMEA Head of Professional Services for EDM, Ms. Isajenko led operations and consulting teams at a number of other software and related vendors.Ms. Isajenko holds a degree in Engineering Informatics from Vilnius Gediminas Technical University in Vilnius, Lithuania.