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Case Study

Top Diesel and Naphtha Producer Uses Product and Process Quality Analytics to Reduce Flaring, Emissions

ORYX GTL Limited is a gas-to-liquids (GTL) diesel and naphtha producer located in Doha, Qatar. The company is committed to reducing its carbon production through the minimization of flaring. By implementing AspenTech´s product and process quality analytics solution, Aspen ProMV®, ORYX was able to increase its diesel and naphtha yield.

Case Study

Specialty Chemicals Producer Reduces Off-Spec Product With Aspen ProMV®

A leading global producer of catalyst solutions and specialty chemicals faced a significant challenge as a result of light impurities causing product quality issues in its downstream production units. By implementing Aspen ProMV, the company witnessed a rapid time to value, with analysis and modeling completed in a fraction of the time required by competing solutions.

Case Study

Brazilian Pulp Producer Improves Planning, Decision-Making with Industrial AI

Discover how Eldorado Brasil, a leading pulp producer, revolutionized their production processes with industrial AI. Seeking to optimize efficiency, reduce waste and minimize resource consumption, Eldorado used Aspen Hybrid Models, combining the power of AI with Aspen Plus® first principles modeling.

Case Study

Sardeolica Digitalizes Wind Farm Maintenance - Reducing Costs, Improving Uptime and Transforming Culture

In this case study, discover how Sardeolica used prescriptive maintenance to achieve maximum value and expects to reduce maintenance costs up to 10 percent per year.

Case Study

Infineum Increases Production Globally by 2,000 Tons per Year with Aspen InfoPlus.21®

Infineum, a world leader in the formulation, manufacturing and marketing of petroleum additives, embarked on a global manufacturing excellence program with the objectives of increasing capacity through improved manufacturing efficiency index (MEI) performance, improving data quality through standard processes for data collection and management and improving the efficiency of tools available for performance analysis.

Case Study

OCP Ecuador Uses Prescriptive Maintenance to Accurately Identify Asset Failure and Reduce Maintenance Costs

OCP Ecuador is a midstream oil and gas company that transports, stores and ships crude oil. With assets installed in remote locations along its 485-kilometer pipeline, the company needed a maintenance solution that would enable them to predict and prevent equipment failures before they occurred. With Aspen Mtell® prescriptive maintenance, the company can now continuously monitor its critical assets for impending failure, using both process and mechanical data.

Case Study

LG Chem Significantly Increases Plant Capacity and Reduces Energy Usage

LG Chem increases capacity by 15% and saves energy through heat integration using Aspen Plus®, Aspen Energy Analyzer™ and Aspen Exchanger Design and Rating™.

Case Study

DuPont Migrates Data to Aspen IP.21 in Hours Not Weeks

Learn how DuPont, one of the world’s largest producers of chemicals and science-based products, successfully migrated over 23 years of historical data in Aveva PI to Aspen InfoPlus.21® in less than 4 days while reducing implementation costs by 45%.

Case Study

Cabot Improves Quality by 30% with Aspen InfoPlus.21®

Cabot, a global specialty chemicals company, operates 39 manufacturing plants across 19 countries. Globalization brought improvement opportunities including sharing production recipes and providing visibility of production metrics across sites.

Case Study

Japanese Manufacturer Uses Dynamic Simulation to Increase Productivity with No Additional CAPEX

Kaneka Corporation is a Japanese chemicals manufacturer, specializing in the production of polymers and resins. Recently, higher market demand for functional resin was resulting in significantly greater demand for one of Kaneka’s high-value products. The company needed to increase production quickly to meet the rising demand, and it wanted to do so without making any significant additional capital investment.

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