A complete package for 1D to 3D pressure analysis and prediction. Combines geophysics, geology, rock-physics geomechanics and drilling data along with global analogous to build robust, geologically driven pressure and stress models. Quickly analyse pressure and stress data, integrate all offset well data, seismic data and geological data and assess the uncertainty within these models to gain greater insight into undrilled prospect areas.

Powerful and intuitive tools for pore pressure and stress modeling

Having access to all datatypes in a single platform enables knowledge to be captured and utilized with the pressure and stress workflows ensuring consistency allowing for the geological uncertainties to be captured appropriately. The seamless interaction between pre-drill modelling to real-time monitoring ensures no loss of information for safe and cost effective well delivery.

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3D pressure and stress models

Propagate 1D models into 2D/3D using a wide selection of geostatistical and inversion models. Articulate decisions and maximize safety using best-in-class workflows to effectively communicate well planning and trajectory risks using a clear visualization environment.

Capture uncertainty

Pore pressure and stress models are derived from multidisciplinary approaches and as such there are many factors that need to be considered and visualized to effectively capture the uncertainty within these PPFG models. The crucial part is the risks are effectively communicated during the PPFG planning process to all teams involved. Using scenarios and stochastic modeling allows analyst to explore the uncertainty within the datasets and quickly test multiple potential outcomes.

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CASE STUDY Reduce risk and cost in frontier exploration

Challenge: Pore pressure prediction works best in areas where the sediments are young, rapidly deposited, contain similar clay content and are within low temperature environments much like those of Tertiary deltas. The ultra-deep water blocks of Cote d’Ivoire have additional geological complexities that therefore make pore pressure prediction more challenging such as, far offset wells outside survey area, high TOC clays, high geothermal gradients, high net-to-gross.

Solution: One of the key solutions to de-risk the ultra- and deep-water Blocks is to build a geologically sensible geopressure model. Such models rely on a detailed understanding of lithologies, facies and depositional models, e.g. the presence of deep-water turbidites, slope fan channels, stratigraphic pinch-out, and rotated fault blocks. The pressure model constructed must explain the current overpressure occurrences, taking into account the local geology and analogous areas (structure, stresses, temperature, basin history, sedimentation rates, and depositional architecture). Using the model we can then sense check any seismic velocity based interpretations.

Results: Accurate prediction of facies, reservoir properties and pressure. The well was complete on time and ahead of budget with best in class drilling performance and no NPT.

Additional Pressure Prediction Enhancements

Geomechanics and Image Logs
Geomechanics and Image Logs

Understanding the stress state in the earth is of vital importance for well plan design, completions optimisation, cap rock integrity, and wellbore stability. Finding a prospect is only part of the battle; safely drilling the well and optimising production is the end goal.

Accelerate learnings of rock mechanical properties and predict where and when those rocks will deform
Interpretation of image logs for borehole breakouts, sedimentology and fractures. Interactive geomechanical model building, analysis and scenario modelling. Key features include; surface picking and image log conditioning, static-dynamic property calibration, wellbore stability, stereonets and more.

Seismic based pore pressure and stress modelling
Seismic based pore pressure and stress modelling

Pre-drill estimates of pore pressure are commonly derived from well log data and seismic velocity data assuming a velocity-to-effective stress transforms is appropriate. Some of the many challenges in performing predictions with seismic velocities is down to the quality, calibration, scale, extrapolation, and the geological environment that is present. If valid then these models provide useful and intuitive ways of communicating risks between assets and business units.

Effectively communicate pressure and stress related risks with multiple stakeholders
Develop 3D models for prediction of subsurface pore pressures away from well control. Key features include; 3D model building, zone based overburden and normal compaction trends, seismic velocity calibration, stochastic pore pressure prediction, multi-realisation analysis and well planning.

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Related Papers

Technical Paper

October 21, 2020
Pore Pressure Prediction in the Devonian Black Shale Basins of North East British Columbia

Based on wireline logs, core data and pressure information obtained directly during drilling, the various shale units within the Wolfcamp Formation in the Delaware Basin are known to be variably pressured with depth. Pore pressure prediction using onshore seismic data is not trivial as the relationship between porosity and overpressure is complicated by a relatively complex geological history.

Technical Paper

October 20, 2020
Reduced Risk in Plugging and Abandoning (P&A) on the UKCS

Generally, governmental authorities require that well operators perform safe and environmentally compliant well abandonment operations by establishing a permanent barrier to retain remaining hydrocarbons in their existing reservoirs and prevent the release of hydrocarbons to the surface. However, the regulator guidelines do not always articulate how these processes should be implemented...

Technical Paper

October 20, 2020
Understanding Pore Pressures in Undrilled Areas Using Analogues

In recent years, new deepwater seismic-based exploration work has resulted in the revision of existing basin boundaries and identification of new, potentially oil-bearing basins in the deepwater Labrador region.

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