As of December 01, 2024, the average annual pay of Petroleum Geologist II in Richmond, CA is $169,563. While Salary.com is seeing that Petroleum Geologist II salary in Richmond, CA can go up to $187,774 or down to $135,617, but most earn between $151,794 and $179,095. Salary.com shows the average base salary (core compensation), as well as the average total cash compensation for the job of Petroleum Geologist II in the United States.
| Annual Salary |
Monthly Pay |
Weekly Pay |
Hourly Wage |
|
| 75th Percentile | $149,495 | $12,458 | $2,875 | $72 |
| Average | $141,538 | $11,795 | $2,722 | $68 |
| 25th Percentile | $126,706 | $10,559 | $2,437 | $61 |
An entry-level Petroleum Geologist II with under 1 year experience makes about $163,002. With less than 2 years of experience, a mid-level Petroleum Geologist II makes around $164,322. After 2-4 years, the Petroleum Geologist II pay rises to about $169,518. Those senior Petroleum Geologist II with 5-8 years of experience earn roughly $172,349, and those Petroleum Geologist II having 8 years or more experience are expected to earn about $173,057 on average.
| Levels | Salary |
|---|---|
| Entry Level Petroleum Geologist II | $163,002 |
| Intermediate Level Petroleum Geologist II | $164,322 |
| Senior Level Petroleum Geologist II | $169,518 |
| Specialist Level Petroleum Geologist II | $172,349 |
| Expert Level Petroleum Geologist II | $173,057 |
| Entry Level | 15% |
| Mid Level | 16% |
| Senior Level | 20% |
| Top Level | 22% |
| Experienced | 22% |
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Each competency has five to ten behavioral assertions that can be observed, each with a corresponding performance level (from one to five) that is required for a particular job.
Analysis: Analysis is the process of considering something carefully or using statistical methods in order to understand it or explain it.
Oil and Gas Production: Oil and gas production is the general process of manufacturing oil and natural gas from wells and turning them into the final petroleum products that consumers can use.
Data Analysis: Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. In today's business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively. Data mining is a particular data analysis technique that focuses on modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. In statistical applications, data analysis can be divided into descriptive statistics, exploratory data analysis (EDA), and confirmatory data analysis (CDA). EDA focuses on discovering new features in the data while CDA focuses on confirming or falsifying existing hypotheses. Predictive analytics focuses on application of statistical models for predictive forecasting or classification, while text analytics applies statistical, linguistic, and structural techniques to extract and classify information from textual sources, a species of unstructured data. All of the above are varieties of data analysis.
| Skill | Salary | Demand |
|---|---|---|
|
Innovation
|
$196,693 |
16%
|
|
Geographic Information System
|
$188,215 |
11%
|
|
Problem Solving
|
$184,823 |
9%
|
|
Hydraulics
|
$178,041 |
5%
|
|
Data Analysis
|
$178,041 |
5%
|
|
Research and Development
|
$178,041 |
5%
|
