Simplex Ingeniería

Process Consulting

Diagnosis, optimisation and decision support with defensible data and plant-level expertise. Balances, modelling and audits for mining operations.

Metallurgical balances
Process modelling
Defensible data
METALLURGICAL BALANCE Process grades Production data Operational consumptions Physical inventories METALLUR- GICAL MODEL Mass balance Reconciled Quantitative scenarios Optimisation Prioritised recommenda- tions

Services

Lines of Work

We cover the complete data cycle: from collection and cleaning through to the reconciled balance and improvement recommendations.

Mass and Metallurgical Balances

Balances in comminution, flotation, leaching and refining circuits. Data reconciliation to ensure consistency and traceability.

Inventory Audits

Comparison between physical inventories, management systems and metallurgical models. Gap identification and alignment with plant accounting.

Bottleneck Diagnosis

Analysis of improvement scenarios for throughput, recovery and consumption. Identification of constraints with the greatest economic impact.

Sampling Campaigns and Reconciliation

Design of sampling campaigns for metallurgical models and data reconciliation to guarantee statistically valid results.

Application Context

When Does It Make Sense?

This service delivers the greatest value when the operation faces data uncertainty or needs decisions backed by solid technical evidence.

01

Changes in Mineralogy

Grade, mineralogy or operational constraint variations that require recalibrating the plant model and recovery projections.

02

Expansion Projects

Flow modifications, incorporation of new equipment or capacity expansion requiring evaluation of the impact on the overall plant balance.

03

Sustained Deviations

Persistent gaps between metallurgical accounting and market or internal benchmarks that require rigorous diagnosis of the error source.

Methodology

How We Work

A structured process that goes from objective alignment to the delivery of actionable recommendations with quantitative backing.

Step 1

Scope and Hypotheses

Objective, available data and timelines agreed with the client before starting the study.

Step 2

Collection and Cleaning

Consolidation and cleansing of production, grade, consumption and plant inventory information.

Step 3

Modelling and Validation

Model or balances with cross-validation and review sessions with the plant team.

Step 4

Delivery and Roadmap

Report with conclusions and action roadmap prioritised by impact and feasibility.

Results

Deliverables

Technical documents with explicit assumptions, quantified scenarios and recommendations that the operation can implement.

Technical Reports

Documents with figures, tables and explicit assumptions. Transparent and traceable methodology for subsequent audit.

Quantitative Scenarios

Projections and numerical comparisons where the study permits, to support investment or operational decisions.

Prioritised Recommendations

Actions ranked by impact and feasibility, with the plant context necessary for their implementation.

Got a Process Challenge?

Let's Work With Your Data

Tell us about your operation and we'll propose the study scope that best fits your objectives and timelines.