POSEIDON™ ANALYTICSPOSEIDON™ ANALYTICS module demonstrates a sweep pattern understanding and improvement: the combination of ROCM and well interactions (Analytics allows for the diagnosis both visually and quantitatively of the effectiveness of gas and/or water flood. Sweep factor maps can then be easily generated to visualize the efficiency of the fluid movement through the reservoir. This module is designed with focus on these aspects:

1. Descriptive Analytics

Using the POSEIDON™ ANALYTICS module, the dynamics of the reservoir units are evaluated using classical reservoir engineering techniques, inclusive of material balance, zone-wise fractional flow fitting, development intensity, and sweep efficiency assessment per reservoir unit over the field (block and layer). This step provides a guide to define high-level priority strategies for the field which form a framework for redevelopment opportunities.

2. Well Interaction and Connectivity Assessment

A well and reservoir connectivity assessment can be performed using POSEIDON™ ANALYTICS powerful statistical analysis of production data (monthly data, or if available, high-frequency data). Connectivity evidence from tracer testing or interference testing can be incorporated in the analysis as an independent validator and calibration. This analysis is used to provide recommendations on injection-producer pairs and producer-producer groups, without the recourse of history-matching simulated models (either full simulation or streamline models). The connectivity across-faults can be evaluated with this method. The reliability of this assessment is directly correlated to the quality of the production data.


Well and reservoir connectivity assessment outcome

3. Predictive Analytics

Using powerful modern machine learning techniques, POSEIDON™ ANALYTICS can combine the initial state reservoir maps (property distribution, PVT, relative permeability) and historical well performance with the remaining oil maps at different time-steps generated by the ROCM module. The predictive analytics capability provides a historically-trained prediction of future performance for existing wells, behind casing opportunities and infill wells. This approach complements the more deterministic approaches that can be used such as decline curve modelling and target volume dentification.


Use of predictive analytics to regress historical performance and provide a forecasting basis for future activities

4. Automated DCA & Forecast

Using smart decline patterns recognition algorithm, PoseidonTM can automatically identify multiple decline periods, decline model fitting and estimate remaining reserves. Ability to identify multiple decline periods allows PoseidonTM to generate possible range of estimated remaining reserves based on historical well performance.


Automated DCA & Forecast


POSEIDON™ ANALYTICS: Resource Overview

Resource view in standard chart or histogram

Resource overview is part of POSEIDON™ ANALYTICS which allows rapid understanding resource and production-injection distribution at different levels – flow units, zones, fault-blocks. Distributions of In-place Volumes (STOIIP or GIIP), recovery factor and production-related attributes (cumulative oil, water) can be viewed with standard pie chart or histogram as above picture.


Bubble Map showing Cumulative Oil and Water in POSEIDON™ ANALYTICS

Dynamic Bubble Map is a feature embedded into POSEIDON™ ANALYTICS, offering great mapping flexibility by taking advantages of POSEIDON™ framework and data structure. Imported static maps or dynamic remaining oil maps can be used as the background while bubbles can be populated from any well production-related attributes from rates to cumulative or from watercut to gas-oil ratio. With time slider, users can also view bubble map at any time over the field production history.


Creaming Curve showing the flexibility in POSEIDON™ ANALYTICS

POSEIDON™ ANALYTICS also offers standard Creaming Curve capability which allows users to gain understanding of well performance decline over time or increasing well count at different depth level (field, fault-block, zone and flow unit). Users will be able to select range of production attributes over user defined interval.

POSEIDON™ ANALYTICS: Material Balance Analysis

MBAL Analysis and Visualization using POSEIDON™ ANALYTICS

Material Balance Analysis (MBAL) is an integrated part of POSEIDON™ ANALYTICS in which typical MBAL works with single-tank or multi-tank can be performed. Our MBAL offers both forward-simulation and history matching capabilities. For history-matching, in-house stochastic search engine is utilized to generate multiple possible solutions. By-products like dynamic phase saturation and drive energy can also be visualized as well.


With Performance Plot feature in POSEIDON™ ANALYTICS, users can generate many mechanistic or diagnostics plot with standard built-in or user-defined templates. Analysis can then be performed at different depth level be it field, fault-block, zone, flow unit, well or well layer.


Well Type Curve

Well Type Curve feature in POSEIDON™ ANALYTICS allows users to parameterize and define well performance by fitting standard built in type curves (example: oil rate vs cumulative oil, watercut vs cumulative liquid) or user defined type curve equation. Both linear (trend line) and non-linear type curve models are supported.