Projects

  • Reservoir Modeling

    Reservoir Modeling

    The objective of geomodeling is to capture geology of the reservoir in a representative static model for dynamic simulation which also shows gross features or detailed characteristics and has capacity of making quantitative predictions.

    For an accurate simulation model, each and every step of geomodeling workflow is extremely important.

     

    Our geomodeling workflow is a process to integrate data from various sources, disciplines and scales in a consistent manner to estimate the reservoir properties.

    The construction of such a model can significantly increase the value of the data and enhance the decision making process. Ultimately, the value gained in enhanced reservoir model resolution, accuracy and reliability is leveraged to exploit reservoirs with fewer, better located wells and obtain optimized development scheme.

    We start building the model by using seismic structure and establishing a broad sequence stratigraphic framework from an initial investigation of the relevant data. The stratigraphic sequence is identified from the well log data and have a reasonably consistent seismic which defines number of zones. After fault and fracture integration into 3D model, porositypermeability and saturation models are completed to form geological model.

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  • Oil and Gas E&P

    Oil and Gas E&P

    Our main objective and activities are to consult operating companies and acquire exploration, production rights of highly potential concessions from various countries: · 

    Acquire undeveloped oil fields in onshore and offshore areas ·

    Acquire abandoned fields around the world for re-development

    Develop and implement innovative oil and gas exploration, production and processing technologies With our highly experiences experts, we anticipate, identify, and resolve inquires and opportunities quickly and more accurately in an economic way. Today’s unstable and uncertain global business environment requires E&P companies or investment organizations to have faster decision cycles, streamlined data processing and satisfaction of cost effective objectives. Production of mature fields has already started to decline while the newly targeted fields and reservoirs impose more complexity, risk and difficulty for efficient and economical development.

    Decision-makers are required better understanding of the uncertainties that have higher impact on project economics. The bottlenecking critical capability for the management is to use the available data to derive realistic and reliable conclusions and decisions. In response to growing demand of energy, we have anticipated to perform reserve audits, exploration portfolio analyses, technical and commercial risk management.

     

    The green assets and undeveloped fields ranking is based on the following factors:

    1. Reservoir characteristics, which can be evaluated from the surrounded exploratory wells and fields in addition to the regional knowledge which includes the effective porosity and permeability and type of carbonate rocks.

    2. Distance from the nearest production infrastructures such as pipe lines, which will help in reducing the development cost.

    3. Exploration potential, which represents the possibility to find additional discoveries.

    4. Available published technical data, which includes seismic coverage (2D & 3D), number and total depth of the drilled wells, types and quality of the open hole logs and the regional studies that were conducted either in-house or by consultants.

    5. Location of the concerned fields from the hydrocarbon migration pathways and availability of mature source rocks.

    6. Identify the potential stratigraphic plays that are expected to be encountered within the concession area in order to be including as additional exploratory target.

    7. Location of the evaluated fields from the main tectonic movements and their possible effect on the reservoir characters and trapping mechanism.

    8. Efficiency of the cap rocks in terms of thickness and their ability to prevent escape of the hydrocarbon.

    9. Depth of burial for the primary target reservoirs, which has a direct impact on the drilling cost in term of time required to reach the reservoir and to predict the type of hydrocarbon.

    10. Possible existence of production risks such as sour gas (the expected H2S present).

    11. If offshore, water depth since the shallow depths require high cost of artificial islands for drilling and production platforms.

    12. Define the volume and nature of work that required enhancing the exploration opportunities.

    13. Net pay thickness and oil saturation, which has a proportional relationship with the estimated reserves and the development plan.

    14. Expected reservoir producing mechanism in order to predict the different production scenarios and recoveries. Possible drilling problems such as loss of circulation, stuck pipes and shale caving which increase the drilling complexity and budget.

     

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