An Asset Register is the heart of managing and maintaining assets. It always helps to engage data-build experts and use a specialized tool to build asset registers quickly, accurately, and reliably.

Low-carbon LNG production requires a much more holistic approach, and improving asset and maintenance management plays a big role in the entire journey. As LNG companies aspire to lower their carbon footprint, investing in building robust asset data and Operations and maintenance practices is the best way forward. ‍

Our experience executing hundreds of asset and materials management projects shows that better materials management can significantly improve oil and gas companies' cash flow and profitability.

Improving asset management is crucial for improving the supply chain of the Oil & Gas companies. Poor asset management practices can lead to events which can negatively affect even the well optimized supply chains.

Item Masters play a crucial role in the materials management and procurement processes of Oil & Gas plants. Here is a quick guide on why and how you should create an item master.

For oil and gas companies, sustainability entails a fundamental shift towards balancing environmental stewardship, social responsibility, and economic viability throughout their operations. In this article, we will discuss how asset management helps Oil & Gas companies meet their sustainability goals.

For LNG and petrochemical companies, it is common to build data for short term needs such as preparing a functional Bill of Material or creating a basic repository of assets. While this data may serve its intended purpose, it may not be suitable for future initiatives. If data is not built with long term goals in mind, companies may need to repeatedly rebuild the same data leading to several issues. In this article, we will be talking about some simple considerations one should be aware of when building asset and maintenance data.

The oil and gas industry is unique. It is indispensable, vulnerable to unimaginable factors, and tolerates no compromises. To keep running, Oil & Gas companies must deal with many challenges. This article highlights some of the most pressing challenges that the industry is facing along with some promising innovations the industry counts on.

Effective spare parts management ensures operational efficiency, minimizing downtime and controlling costs. Companies use different approaches and tools to optimize their spare parts, from simple Excel sheets to complex modeling. Here are some critical aspects of the role of spare parts optimization in the smooth operation of Oil & Gas facilities:

With the rise of Industry 4.0 practices, companies have realized that Preventive Maintenance often leads to under or over maintenance. As Oil and Gas companies strive hard to optimize their operations and cash flows, Predictive Maintenance is emerging as a crucial strategy for improving asset reliability in the Oil and Gas industry. 

Managing and maintaining asset data is a specialized activity and demands expertise, attention to detail, and excellent project management skills. If, for some reason, an Oil & Gas company fails to maintain data quality, it can lead to the following negative maintenance outcomes: 

Every Oil & Gas company needs a large amount of data on its assets to ensure that the assets function smoothly. If periodic data cleansing is not done, many discrepancies will creep in and affect the quality of decisions made. Here are a few reasons why Oil & Gas companies should clean their asset data periodically.

A robust and well-thought-out maintenance strategy forms the backbone of optimal performance for any Oil and Gas facility. This article examines ten core objectives that should be incorporated into your maintenance strategy.

From finding the correct spare at the right time to optimizing inventory costs, material management has far-reaching benefits. Here are some insights gathered from our experience of material management for more than four decades:

The first step towards building good data is understanding what errors creep into the process of creating the data. The five pointers mentioned in this post provide a bird’s eye perspective of the most common problems that exist with asset data. Stay tuned to our blog for valuable tips on building high-quality data for industrial assets.