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The differences between logging engineers and mud analysis supervisors can be seen in a few details. Each job has different responsibilities and duties. It typically takes 6-8 years to become both a logging engineer and a mud analysis supervisor. Additionally, a logging engineer has an average salary of $99,483, which is higher than the $93,058 average annual salary of a mud analysis supervisor.
The top three skills for a logging engineer include rig, enhance safety and CSS. The most important skills for a mud analysis supervisor are autism, financial analyses, and applied behavior analysis.
| Logging Engineer | Mud Analysis Supervisor | |
| Yearly salary | $99,483 | $93,058 |
| Hourly rate | $47.83 | $44.74 |
| Growth rate | 8% | 8% |
| Number of jobs | 2,610 | 3,246 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 74% | Bachelor's Degree, 65% |
| Average age | 43 | 43 |
| Years of experience | 8 | 8 |
Logging engineers and mud analysis supervisors have different pay scales, as shown below.
| Logging Engineer | Mud Analysis Supervisor | |
| Average salary | $99,483 | $93,058 |
| Salary range | Between $67,000 And $145,000 | Between $65,000 And $131,000 |
| Highest paying City | San Francisco, CA | - |
| Highest paying state | Nevada | - |
| Best paying company | DocuSign | - |
| Best paying industry | Energy | - |
There are a few differences between a logging engineer and a mud analysis supervisor in terms of educational background:
| Logging Engineer | Mud Analysis Supervisor | |
| Most common degree | Bachelor's Degree, 74% | Bachelor's Degree, 65% |
| Most common major | Geology | Business |
| Most common college | Stanford University | University of Southern California |
Here are the differences between logging engineers' and mud analysis supervisors' demographics:
| Logging Engineer | Mud Analysis Supervisor | |
| Average age | 43 | 43 |
| Gender ratio | Male, 91.5% Female, 8.5% | Male, 63.8% Female, 36.2% |
| Race ratio | Black or African American, 4.3% Unknown, 4.7% Hispanic or Latino, 10.8% Asian, 17.0% White, 62.8% American Indian and Alaska Native, 0.3% | Black or African American, 4.2% Unknown, 4.7% Hispanic or Latino, 10.6% Asian, 17.1% White, 63.1% American Indian and Alaska Native, 0.3% |
| LGBT Percentage | 5% | 5% |