Garbage In, Garbage Out: Fix Data at the Source

I have spent my career learning that in the oil and gas business, the stakes for data are much higher than just a messy spreadsheet or a bad chart. Bad data leads to wrong decisions at the wellhead, compliance gaps with regulators, and millions of dollars in lost production. This is about why the fastest path to trustworthy analytics isn't a more advanced dashboard—it's fixing the inputs right where the data is born.

I remember a project where we were trying to optimize artificial lift across a hundred wells. We had a state-of-the-art analytics platform, but the results were nonsense. Why? Because the field data was being "penciled in" at the end of a twelve-hour shift by a tired pumper who was just trying to get home. We were trying to build a digital future on a foundation of "best guesses."

True stewardship is about making the right entry the easiest entry for the people on the front lines.

Why the Source Matters Most

Every data leader knows the saying: garbage in, garbage out. But in our industry, we have a habit of trying to "clean" the data in the office rather than fixing the process in the field. When you fix data quality at the origin, you aren't just saving an analyst's afternoon; you are building a culture of integrity.

Without source fixes, you are simply automating the spread of bad information. When you prevent bad records from ever entering your system, you build a level of trust in your reports that allows your leadership team to act with total confidence.

If the field doesn't trust the tool, the office can't trust the data.

Practical Ways to Fix the Field Edge

Taking the risk to overhaul your field data entry is a calculated move to gain long-term clarity. It requires moving away from "corporate-first" designs and toward a "field-first" mentality. Here is how you make accuracy the natural outcome:

• Simplify the Input: Replace those cluttered, multi-screen forms with intuitive, mobile-friendly entries. Use drop-downs and pre-filled defaults. If a pumper has to type "Pressure" twenty times a day, your system is failing them.

• Integrate the Workflow: Don't make crews log into a separate "data system" after the job is done. Capture the data within the tools they are already using to manage the work.

• Capture the Context: Use the hardware in their pockets. Photos, voice notes, and GPS tags validate and enrich entries without requiring a single extra keystroke.

Resilience is built when the data is a byproduct of the work, not a distraction from it.

Why Leaders Should Care

Stewardship means understanding the downstream impact of every field entry. When data is clean at the source, every department wins:

1. Operations Directors: You can make faster, more confident operational calls because you aren't second-guessing the tank levels or the line pressures.

2. Compliance Teams: Accurate field entries drastically reduce your reporting risk and the gut-wrenching cost of a failed audit.

3. Data Leaders: Your analytics cycles move faster, and you stop being the "data janitor" and start being a strategic partner.

A leadership team that values the source is a team that values the truth.

Operational Lessons from Robert Wichert

Leadership is about showing the field why their inputs matter to the whole mission. Robert Wichert’s approach to operational data shows that when people see the impact of their work, they become more invested in getting it right. Here is how to turn the tide:

• Close the Feedback Loop: Show the field teams the dashboards their data creates. When they see how a wrong entry affects the production view, they’ll understand the "why" behind the "what."

• Train for Impact, Not Compliance: Stop telling people to fill out forms "because corporate said so." Tie data quality directly to safety and operational success.

• Audit the Friction: Go for a ride-along. If the data entry process is a headache for you, it’s a nightmare for the pumper. Simplify the process until the right way is the only way.

Final Thought

There is a deep sense of responsibility in how we handle the information that drives our business. We are responsible for the decisions we make and the data we use to justify them. Stewardship isn't about asking for perfection; it's about designing processes that make perfection the easiest path.

Make it easy for the field, and you’ll make it accurate for the office. In this business, the only thing more costly than bad data is the decision you made because you believed it. Fix the source, and the rest will follow.

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If this question hit home, you’ll want to hear how it plays out in real operations. Join Robert Wichert from Cougar Energy on Wisdom at the Wellhead as he unpacks the systems, mindset, and data that turn a standard operation into a legacy business.