This is no secret that formation evaluation is commercially crucial for an operator and therefore is at the heart of GPCI´s approach. But maximizing the efficiency / timing ratio for logging jobs can have its pitfalls. In particular, there is often only one chance to obtain critical data. These constraints explain why GPCI, in recommending logging programs, always ensures that logging requirements and log quality are aligned with formation evaluation requirements. And optimized to acquire only what is needed, No more – No less. In this context, GPCI offers the following services:
Petrophysics is the core of GPCI expertise. From log interpretation to pore scale modelling and SCAL experiments we offer a complete suite of services.
GPCI is a dependable partner in managing petrophysical projects, especially when it comes to processing and interpreting of borehole imagery, nuclear magnetic resonance and sonic scanner data, all competitively performed by our in-house experts.
Similarly, performing pore scale simulations to refine plays – beyond the constraints of lab dynamic fluid flow analysis – form a central part of GPCI‘s activities.
Beyond that, GPCI’s teams can also move on-site to represent its client and to ensure adequate data acquisition and data QC at source. Reservoir assessment studies based on (wireline) well log data embrace :
Matricial reservoir assessment
Well log data handling
GPCI takes care of editing all well informations, turning any raw data into consistent and clean datasets (splicing, depth shifting, denoising etc.)
GPCI delivers detailed expertise reports, including acquired data discussion, methodologies applied, petrophysical interpretation, petroleum reservoir evaluation results, conclusions and recommendations.
GPCI provides also formation and cement integrity evaluations in cased hole environments
Cement Placement Evaluation
Electrofacies analysis and log prediction through wireline and core data integration:
Cluster analysis looks for similarities/dissimilarities amongst data points in multivariate space of logs and core data, in order to group them into classes, electrofacies :
Microresistivity and sonic borehole images (BHI) provide abundant data for geologists, petrophysicists, reservoir engineers, drilling engineers and geophysicists. They enlighten the sedimentological and structural settings of the drilled area, and can therefore greatly facilitate the understanding of conventional log responses (e.g., related to a low vertical resolution). In return, those data analysis greatly improve petrophysical interpretations, help to perform stress modelling, and are essential for well stability modelling and well planning. Raw and processed image data quality control and analysis are realized as follow :
Image analysis and interpretation
NMR is a powerful tool to help reservoir characterization. In some situations it even turns to be the key tool in the analysis. It is the only wireline log that can differenciate between free fluid and bound fluid. It is also a powerful tool to better interpret low resistivity / low contrast pay, or to perform direct fluid saturation computation in flushed zone – independently of resistivity measurements.
Raw and processed data QC
Processing of raw data
2D NMR fluid typing
Log – Core Integration
Pore size and facies identification
Total Organic Carbon volume estimation from mineralogy corrected density and NMR porosity
In addition to standard routine core analysis measurements, GPCI provides professional advice for Special Core Analysis (SCAL) for both carbonate and clastic reservoirs :
Interpretation and application to Petrophysics :
Geomechanical studies are important during many stages of hydrocarbon prospection, development and production: from well planning to well completion and production monitoring. It allows effective cost planning, optimizing oil and gas production rate and recovery, helps to decrease environmental risks and to avoid hazards.
Our practical expertise covers :
Evaluation of rock dynamic mechanical properties
In-situ Tectonic Stress Orientation Analysis
Qualitative pore pressure prediction
Based on pressure and log information from surrounding wells and guided by the interval velocity trends from seismic data after refined velocity analysis, a prediction of potential pore pressure intervals is provided.
GPCI focuses on incorporation of all information available in all spatial directions around the borehole, including the analysis of potential production data which may have led to potential depletion of reservoirs.
Wellbore Stability Studies
Sand Production Prediction and Sand Control
Reservoir compaction, compressibility and subsidence studies