Scientific Writing Support for Geothermal Reservoir Study

Job ID: 40583694

Budget: $10 – $30 USD

I am looking for an experienced scientific writer/editor with a background in geoscience, geophysics, petroleum engineering, or related fields to support the final revision of a research manuscript submitted to an international peer-reviewed journal (Acta Geophysica).

The manuscript focuses on AVO-derived elastic parameters, Lambda-Mu-Rho (LMR) analysis, and seismic inversion for fractured carbonate geothermal reservoir characterization.

The paper has received a major revision decision, and the main task is to help align the manuscript with reviewer expectations by improving scientific clarity, consistency, and presentation.

Scope of Work:
Review reviewer comments and ensure all concerns are properly addressed.
Improve scientific wording and reduce unsupported claims.
Strengthen discussions on:
Uncertainty associated with density estimation (Gardner relationship).
Limitations of seismic inversion and LMR interpretation.
Calibration and validation constraints.
Qualitative vs. quantitative interpretation of crossplots.
Ensure consistency between the revised manuscript and response letter.
Identify and remove any remaining placeholders, inconsistencies, or editorial issues.
Improve the overall academic style and readability while maintaining the original scientific contribution.
Required Background:
Experience writing/revising peer-reviewed scientific manuscripts.
Strong understanding of:
Seismic inversion (AVO/AVA).
Rock physics and elastic parameters.
Reservoir characterization.
Geothermal or petroleum geoscience.
Familiarity with responding to journal reviewers is highly preferred.
Deliverable:

A polished revised manuscript and recommendations for improving the response-to-reviewers document.

Timeline:

Short-term support required due to a limited revision deadline.

If interested, please share:

Relevant publication/revision experience.
Examples of scientific manuscripts you have edited.
Your availability and estimated timeline.