AI Buyer Insights:

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Michelin, an e2open customer evaluated Oracle Transportation Management

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Michelin, an e2open customer evaluated Oracle Transportation Management

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Apps Purchases: 10+ Million Software Purchases

App purchases

Founded in 2010, APPS RUN THE WORLD is a leading technology intelligence and market-research company devoted to the application space. Leveraging a rigorous data-centric research methodology, we ask the simple B2B sales intelligence question: Who’s buying enterprise applications from whom and why?

Our global team of 50 researchers has been studying the digital transformation initiatives being undertaken by 2 million + companies including technographic segmentation of 10 million ERP, EPM, CRM, HCM, Procurement, SCM, Treasury software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.

Apps Run The World Buyer Insight and Technographics Customer Database has over 100 data fields that detail company usage of emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database, and different on-prem and cloud apps by function, customer size (employees, revenues), industry, country, implementation status, year deal won, partner involvement, Line of Business Key Stakeholders and key decision-makers contact details, including the systems being used by Fortune 1000 and Global 2000 companies.

Apply Filters For 10+ Million Software Purchases

  • Oil Gas and Chemicals
Logo Customer Industry Empl. Revenue Country Vendor Application Category When VAR/SI Insight Insight Source
Hurricane Energy Oil, Gas and Chemicals 55 $241M United Kingdom Schlumberger Schlumberger Intersect Reservoir Simulation 2015 n/a Hurricane Energy implemented Schlumberger Intersect in 2015 for Reservoir Simulation to enable higher-resolution reservoir modeling and forecasting workflows. The initial deployment prioritized validation, running an existing sector model in Schlumberger Intersect and comparing outputs to the previous simulator, which demonstrated good agreement and significantly faster run times. The implementation leveraged Schlumberger Intersect high-resolution simulation capabilities to move from sector-level analysis to a full-field model. The full-field configuration incorporated a more connected fault network derived through ant tracking in the Petrel platform, and it absorbed additional test data including the 205 21 a-6 well test, which previously could not be accurately honored because the radius of investigation exceeded sector boundaries. Operationally the project integrated model building in the Petrel platform with forward simulation in Schlumberger Intersect, creating a workflow for transferring ant tracking fault interpretations into the Intersect grid and physics. Hurricane Energy reservoir engineering experts executed the full-field runs, and the full-field model completed in reasonable time enabling history matching to available test data. Governance followed a sector-to-full-field validation and test approach, with the sector comparison validating the physics of Schlumberger Intersect before scaling. After successful history matching the model was used by Hurricane Energy to run several forecasting scenarios, increasing confidence in the accuracy of reservoir predictions and enabling broader scenario analysis.
Eqt Oil, Gas and Chemicals 1461 $5.3B United States Schlumberger Schlumberger Intersect Reservoir Simulation 2015 n/a In 2015, Eqt deployed Schlumberger Intersect as a core Reservoir Simulation application to support Southwest Pennsylvania and Ohio Utica development. The deployment focused on analytical and numerical reservoir modeling to drive field optimization design recommendations and well spacing analysis. The program also encompassed Deep Utica appraisal program design and identification of potential locations for future wells for asset delineation. The implementation used Schlumberger Intersect as the primary numerical simulator and integrated Kinetix and MEPO simulation workflows for compositional and production forecasting scenarios. Functional modules and capabilities implemented included DFIT and pressure buildup test interpretation, pressure dependent permeability analysis, completion design parameter testing, and iterative well performance analysis. Well performance analytics were paired with IHS Harmony data to provide historical production context for simulation calibration. Operational integration extended to production operations for well flowback and curtailment communication, and to the completions engineering team for recommending tests on completion design parameters and proposing optimum well spacing. Data inputs such as DFITs, pressure buildup tests, and well performance records were ingested into Schlumberger Intersect models to generate test recommendations and spacing proposals. The operational coverage targeted reservoir engineering and completions functions across the Southwest PA and Ohio Utica assets. The practitioner recently moved to Eqt's Data Governance and Advanced Analytics team, with two months tenure at the time of the source, and worked on data governance and advanced analytics projects. Responsibilities included identifying machine learning projects for various business units, including drilling efficiency optimization, while maintaining simulation model fidelity and data workflow governance. Governance emphasized coordination of reservoir simulation outputs with operational decision workflows for test execution and production adjustments.
Oil, Gas and Chemicals 32492 $104.3B Italy Stone Ridge Technology Stone Ridge Echelon Reservoir Simulation 2015 n/a
Oil, Gas and Chemicals 1681 $6.4B United States Stone Ridge Technology Stone Ridge Echelon Reservoir Simulation 2015 n/a
Oil, Gas and Chemicals 11000 $1.3B United Kingdom Visma Visma EasyCruit Recruiting 2015 n/a
Oil, Gas and Chemicals 2700 $624M Finland Medius Medius AP Invoice Automation AP Automation 2015 n/a
Oil, Gas and Chemicals 23843 $9.5B Mexico SAP SAP SuccessFactors Employee Central Core HR 2015 n/a
Oil, Gas and Chemicals 23843 $9.5B Mexico SAP SAP SuccessFactors Performance and Goals Performance and Goal Management 2015 n/a
Oil, Gas and Chemicals 23843 $9.5B Mexico SAP SAP SuccessFactors Compensation Compensation Management 2015 n/a
Oil, Gas and Chemicals 23843 $9.5B Mexico SAP SAP SuccessFactors Recruiting Recruiting,Applicant Tracking System 2015 n/a
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