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Alqallabi, Salah (ADNOC HQ) | Abdulla, Mohammed (Emerson Automation Solutions) | Bahussain, Esra (ADNOC Offshore) | Al-Jenaibi, Faisal (ADNOC HQ) | Parra, Humberto (ADNOC HQ) | Shebl, Hesham (ADNOC HQ) | Altaf, Basit (ADNOC Offshore) | Nehaid, Hani (ADNOC HQ) | Fathy, Amr (Emerson Automation Solutions) | Al Mentheri, Khawla (ADNOC Offshore)
This paper presents the implementation of an integrated reservoir modeling approach that tightly connects and integrates different reservoir modeling disciplines. The approach allows the propagation of subsurface reservoir uncertainties across the various modelling domains, from seismic interpretation though to dynamic reservoir simulation and surface facilities modeling. The results achieved by this approach is a geologically consistent ensemble of runs (100 runs or more) that matches observed data and capable of predicting the future field performance under various development scenarios with a higher degree of reliability. Using an ensemble of runs that first honor the geological facies, as initially defined in the prior probability field, and subsequently updated by reservoir production behavior in the post probability field, enables the user to predict future field performance by allowing hydrocarbon recovery probabilities to be calculated, where the impact of subsurface reservoir uncertainties on prediction results and the possible risk in each development decision is estimated.
The field studied is located Offshore in Abu Dhabi and has four main, two secondary, and few minor stacked carbonate reservoirs. Available evidence indicates that the field's reservoirs are not in communication and this study focuses on the main and secondary units. The conceptual geological model proposes that all the zones are conformable, with no truncation or pinching, forming a layer cake depositional model in which reservoirs range in thickness, from few feet in thin zones, to tens of feet in thick zones. Over time the field has been affected by different tectonic stress regimes, resulting in complex strike slip faulting, extending vertically across all reservoirs.
Quantification of static and dynamic uncertainties together in the applied methodology is improving the team integration and common understanding for the field structural and geomodelling uncertainties and its impact on the dynamic model behavior for different reservoirs. The methodology has been tested where new drilled well data is included at different times and it showed an easy and quick update for the entire workflow from seismic to simulation. The model was calibrated to historical observed data using different geological uncertainties (structural, facies, geomodelling and dynamic uncertainties) which helped to achieve a geologically consistent and reliable models.
Seismic processing to PSDM is now a common approach in Abu Dhabi to improve the subsurface imaging. However due to the amount of well information in this region, it is challenging to provide additional geological understanding through seismic reservoir characterization. This paper demonstrates the impact of PSTM and PSDM processing results through various trials of deterministic seismic AI inversions to provide meaningful geological information and its pitfalls.
The upper Jurassic Formation in this study area is currently categorized as un-developed reservoir and consists of high porosity and permeability grainstone dominant carbonate within a limited areal extension, the so-called Oolite belt in this region. Aimed to improve the seismic image for this reservoir and above super-giant reservoirs, PSTM and PSDM processing were implemented. Through PSDM processing, a robust velocity model was generated to solve complex overburden geologies such as high velocity channels, strongly anisotropic shale and lateral heterogeneity of these giant-reservoirs. Here the PSTM and PSDM results are evaluated during a deterministic AI inversion step.
Due to the small number of wells penetrating this undeveloped reservoir, two low frequency models were evaluated: one log interpolation only and two using merge log interpolation with PSTM and PSDM velocities for the ultra-low frequency component, respectively. Each seismic inversion result for both PSTM/PSDM seismic with these low frequency models shows a good agreement with log calculated AI and porosity. However, the low frequency model strongly influences the result away from well locations. In view of the regional geological trend, inversion results from PSDM seismic with PSDM processing velocity shows a good match to the regional geological features such as the extension of the Oolite belt and the inner ramp to mid ramp boundary. Additionally this seismic inversion result shows local high porosity regions at the crestal area and porosity changes at the flank area. These variations could be interpreted as porosity preservation after oil migration and local fracturation in depositional environment, respectively. AI inversion results from PSTM lead to more pessimistic GRV estimates and may lead to wells placed in less productive areas during the appraisal and development phases. Additionally these results mislead regional geological interpretation and potential exploration targets.
The benefit of PSDM processing is not limited to better imaging but also produces a robust velocity model leading to an improved understanding of reservoir distribution and characteristics. Integrating regional geological knowledge and seismic inversion using PSDM velocity models will help to identify exploration targets, derisk future appraisal wells and reservoir development plans.
Abu Dhabi's oil and gas reserves cover a large part of country's offshore region. With the vision of continuous optimisation of its operating costs, and minimising risks through world-class innovations, ADNOC Offshore identified a significant potential of integrating its wealth of ground investigations accumulated over 50 years into a comprehensive 3D Geological, Geotechnical and Geohazard model to develop innovative probabilistic geotechnical design risk-based solutions for its offshore assets leading to significant commercial benefits industry wide.
ADNOC Offshore initiated the project in collaboration with Arup and the British Geological Survey to compile and interpret the available ground investigation information into a three-dimensional geospatial database and develop the 4G Ground Engineering Model. The 4G refers to Geology model, Geohazards (submarine, seismic and tsunami hazards) and Geotechnical data and Geotechnical design components. The various components of this model were compiled into a GIS platform with an intuitive user interface. This 3D ground modelling approach was achieved by combining BGS's 3D geological modelling capability, and the application of advanced methods for probabilistic treatment of uncertainty of geotechnical parameters by Arup.
The state-of-the-art 3D geological modelling, which is consistent with the onshore geology but entirely new for the offshore region, provides the basis for consistent and robust geotechnical and geohazard zonation. The geotechnical design parameters and geotechnical basis for design of shallow and deep foundations for offshore structures was achieved through interrogation of the 4G Ground Engineering Model. The model makes all geotechnical information available to decision makers, providing one source of geotechnical truth for four offshore oil and gas field areas operated by ADNOC Offshore. Extensive, multi-billion-dollar development plans are underway and planned for future decades. The 4G Ground Engineering Model provides an efficient and robust tool to provide all ground-related information to decision makers for the siting, planning and geotechnical for new facilities, the regular risk assessment updating for existing facilities and for the planning of new ground investigations to fill knowledge gaps that have been identified and may require updating in the future. Uncertainties in interpreting ground conditions over such large areas have been analysed and evaluated and are fully appreciated by ADNOC Offshore. The 4G Ground Engineering Model is seen as a robust and transparent tool for managing these uncertainties as part of a wider risk management strategy.
The 4G Ground Engineering Model provides multiple benefits to ADNOC Offshore including efficiency and cost savings. The primary focus for ADNOC Offshore has been continuous enhancement of health, safety and environmental performance as part of their risk management strategy. Offshore ground investigations are costly and require operation of equipment under strict health, safety and environmental requirements. The 4G Ground Engineering Model allows these works to be optimised at the planning stage, realising cost savings, and reducing health, safety and environmental risks.
This 4G Ground Model has establish a platform for integration and implementation of multi-layered and multi-focal GIS database. New information and requirements can be easily integrated into this model as well as the way of modelling implemented for new geographical areas.
Decisions in E&P ventures are affected by Bias, Blindness, and Illusions (BBI) which permeate our analyses, interpretations and decisions. This one-day course examines the influence of these cognitive pitfalls and presents techniques that can be used to mitigate their impact. Bias refers to errors in thinking whereby interpretations and judgments are drawn in an illogical fashion. Blindness is the condition where we fail to see an unexpected event in plain sight. Illusions refer to misleading beliefs based on a false impression of reality. All three can lead to poor decisions regarding which work to undertake, what issues to focus on, and whether to forge ahead or walk away from a project. Strategic thinking and planning are key elements in an organisation’s journey to maximise value to shareholders, customers, and employees. Through this workshop, attendees will go through the different processes involved in strategic planning including the elements of organisational SWOT, business scenario and options development, elaboration of strategic options and communication to stakeholders. Examples are provided including corporate, business unit and department case studies. This seminar will teach participants how to identify, evaluate, and quantify risk and uncertainty in everyday oil and gas economic situations. It reviews the development of pragmatic tools, methods, and understandings for professionals that are applicable to companies of all sizes. The seminar also briefly reviews statistics, the relationship between risk and return, and hedging and future markets.
Learn more about training courses being offered. Learn more about training courses being offered. This course covers the fundamental principles concerning how hydraulic fracturing treatments can be used to stimulate oil and gas wells. It includes discussions on how to select wells for stimulation, what controls fracture propagation, fracture width, etc., how to develop data sets, and how to calculate fracture dimensions. The course also covers information concerning fracturing fluids, propping agents, and how to design and pump successful fracturing treatments. Learn more about training courses being offered. Current and future SPE Section and Student Chapter leaders are invited to engage and share.
Challenges In Drilling and Completion Of Extended Reach Drilling Wells with Landing Point Departure more than 10,000ft in Light/ Slim Casing Design. New Generation of HTHP Water Based Drilling Fluid Changing Conventional Drilling Fluids Solutions. Take Back Control of Your Capital Project with an EPC 4.0 Strategy Stratigraphical - Sedimentological Framework for the Thamama Group Development in the Western UAE Based on the Legacy Core Data: How the Key to the Future is Found in the Past. Ultra-deep Resistivity Technology as a Solution for Efficient Well Placement; Geosteering and Fluid Mapping to Reduce Reservoir Uncertainty and Eliminate Pilot Hole-first Time in Offshore Abu Dhabi, UAE. Performance Comparison of two different in-house built virtual metering systems for Production Back Allocation.
The basic objective of this course is to introduce the overview and concept of production optimisation, using nodal analysis as a tool in production optimisation and enhancement. The participants are exposed to the analysis of various elements that help in production system starting from reservoir to surface processing facilities and their effect on the performance of the total production system. Depth conversion of time interpretations is a basic skill set for interpreters. There is no single methodology that is optimal for all cases. Next, appropriate depth methods will be presented. Depth imaging should be considered an integral component of interpretation. If the results derived from depth imaging are intended to mitigate risk, the interpreter must actively guide the process.