DSO vs. MS-Excel: Why Excel can't compete with oil and gas operations software

Which software tools are most effective for integrated planning and scheduling in oil & gas?

While traditional tools like MS-Excel are accessible, software such as Decision Support and Optimization (DSO) provides the dynamic, integrated environment needed for managing activities, resources, and complex constraints—something MS-Excel struggles with due to manual data entry and lack of visibility.

DSO outperforms MS-Excel for complex upstream scheduling by offering centralized data, AI-enabled optimization, automated constraint handling, and superior “What if?” scenario planning, eliminating manual errors and bottlenecks common in spreadsheets. This leads to better resource allocation, increased operational efficiency, and improved alignment with business objectives​​.

​​​Today’s upstream operators are turning to precision scheduling  

For years, upstream operators tied resources to broad production and budget targets—spending a planned amount to reach a general output level. Today, organizations are embracing precision scheduling and finer-grained cost management. Rather than pursuing lofty, top-down goals, they schedule and track activities with exacting detail—down to individual wells and even per foot drilled—to optimize performance and ensure expenditures align with actual progress. This move to precision scheduling demands tighter integration of cost data with near-real-time operational planning. 

Scheduling guides when and where resources are deployed, tying cost tracking to a defined timetable. The goal is to forecast cash flow, anticipate delays, and adjust operations proactively, turning high-level targets into actionable, efficient execution. This time-aware discipline improves alignment between expenditure, productivity, and project milestones. However, many organizations still rely on MS-Excel for scheduling because it’s familiar and supported by standardized templates. While convenient, MS-Excel’s shortcomings can lead to scheduling conflicts, delays, and inefficiencies.  

This raises the question: Is MS-Excel still viable, or is it time to adopt a specialized upstream scheduling solution? 

The problem with using MS-Excel for upstream scheduling 

While MS-Excel remains a well-known tool, its suitability for upstream scheduling diminishes as the planning horizon shifts to fine-grained, dynamic, and data-rich schedules. MS-Excel’s manual, cell-based approach struggles to maintain accuracy, traceability, and performance as complexity grows. The following points explain the key pitfalls of relying on MS-Excel for scheduling. 

• Errors: Manual processes and spreadsheet-based workflows are prone to introducing inaccuracies. In addition to the challenges of validating manually entered data, these inaccuracies can propagate as the spreadsheet is shared across the well delivery team.

• Version control, collaboration, and information silos: Using a spreadsheet to schedule means that there is no easy way to ensure that every member of the team is using the most current version. In addition, collaboration is very difficult to achieve in any meaningful way. Multiple versions of the scheduling spreadsheet often begin circulating because different disciplines prefer to view the data in their own formats. As a result, information becomes fragmented across the organization, creating silos and leading to misalignment around critical updates.     

• Lack of quality assurance (QA): Spreadsheets lack robust auditability, making it difficult to track who made specific changes and when. Maintaining control over the data to ensure alignment with company standards and regulatory requirements is extremely challenging.   

• Impaired decision-making: Assessing how proposed schedule changes will affect key performance indicators (KPIs) is difficult and often requires extra manual effort. And creating “What if” scenarios to test options is time-consuming.

• Inability to scale: An upstream operator may begin scheduling by adding rig and well data to a spreadsheet. Over time, more and more information is layered in, including pre-spud activities and milestones, costs, additional resources such as frac spreads and tie-in crews, facilities data and lease obligations. Eventually, the spreadsheet becomes so complex and unwieldy that the entire process breaks down under its own weight.        

How DSO solves the shortcomings of MS-Excel

The following real-world scenarios highlight the key limitations of using MS Excel for upstream scheduling and demonstrate how DSO effectively addresses and overcomes these challenges. 

Problem 1: Inadequate visibility of complete operations

An oil and gas company had abundant resources and rigs located up to 100 miles apart. The operator would finish drilling with one rig and then deploy it to a location within five miles of where the other rig was working, because MS-Excel-based planning made it hard to see overlaps and optimize allocation. Large spreadsheets were unwieldy, making it difficult to obtain a single source of truth without extensive manual work. This led to expensive non-productive time across multiple well sites. 

Solution: A 360-degree view with oil and gas operations software 

DSO solves visibility issues in oil and gas upstream operations by centralizing data and replacing disparate spreadsheets with an AI-enabled scheduling and visualization tool. It enables immediate, organization-wide visibility into well inventories, drilling operations and logistics for a 360-degree view of operations, allowing for better, faster, and more collaborative decision-making. Users benefit from interactive Gantt charts, maps, and dashboards to track, analyze, and manage activities, resources, and dependencies. 

Problem 2: Fragmented workflows 

An operator was using a variety of tools for different stages of the well life cycle. They relied on MS-Project for drilling and MS–Excel for completion, but these plans were not synchronized. The lack of synchronization between the two tools led to operational inefficiencies and miscoordination. Specifically, the completions team often arrived to find no rig on site, causing delays, wasted travel and planning time and unnecessary costs. 

Solution: Single, cohesive oil and gas operations scheduling software 

DSO solves fragmented MS-Excel and MS-Project workflows in upstream oil and gas operations by integrating disparate data sources, scheduling, and planning into a single, cohesive system. By aligning schedules across the organization, it improves coordination, reduces conflicts, and accelerates decision-making. The result is more reliable schedules, better risk management and a clearer path from exploration through execution.

Problem 3: Technical limitations of running scenarios

An operator using MS-Excel was considering reducing the number of rigs in the second quarter and needed to understand the implications for costs, anticipated production, and the number of wells that could be drilled. However, running scenarios in MS-Excel proved very difficult due to technical limitations such as performance slowdowns with large models, limited collaboration, and a steep learning curve for complex modeling. It would take more than five days to produce a scenario that offered an alternative version of the schedule, causing delays and friction in evaluating options and making it harder to confidently decide whether to reduce the number of rigs. 

Solution: DSO scenario creation and evaluation 

DSO’s AI-enabled scheduling engine rapidly creates, evaluates, and compares multiple “What if?” scenarios for upstream operations in seconds, delivering insights and optimization far beyond what manual spreadsheets can achieve. By automating tedious tasks, it enables faster, data-driven decisions that optimize asset utilization, reduce downtime, and improve production economics. 

It enables planners to rapidly analyze in minutes rather than days and how changes in strategy—such as adding rigs, cutting budgets, or altering drilling sequences—will impact KPIs, costs, and production. With DSO scenario creation and evaluation, operators can immediately see how changes to rig schedules impact production, materials, capital expenditures, and other key factors. 

DSO vs. MS-Excel comparison chart 

A clear choice for more efficient, accurate and reliable upstream scheduling 

DSO  is built for today’s upstream scheduling needs, managing complex, multi-constraint environments with speed, precision, and scalability that spreadsheets simply cannot match. It delivers clear, role-specific insights while maintaining a single source of truth, eliminating the conflicts, silos, and data inconsistencies that undermine planning in MS Excel. The result is faster, more reliable decision-making and a level of coordination, visibility, and control that makes DSO the definitive solution for operators. 

Discover the scheduling solution built to meet the efficiency and productivity demands of today’s upstream oil and gas operators. Schedule a Demo.