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Hydrocarbon exploration and production in unconventional reservoir is under-developed in Middle East. Therefore, the understanding about this subject is still scanty which leads to conspicuous uncertainties in comprehensive reservoir evaluation and development. It plays a critical role to minimize the cost of exploration, drilling and operations. Detail plan for core acquisition and study is crucial to provide accurate and sufficient information to unlock the potential of Jurassic unconventional reservoirs in West Kuwait (WK). Hydraulic fracturing has proven to be a successful technique for increasing the productivity of unconventional reservoirs. However, before reaching that step, many factors should be intensively evaluated to minimize the risks. A potential area to place a MSF well should satisfy several criteria: high TOC, hydrocarbon maturity (oil, wet gas, or gas), less bitumen, proper containment to hold the vertical extension of fractures beyond the upper/lower boundary, etc…This paper aims to describe the integrated process of reservoir characterization to identify Najmah Kerogen sweet spots in order to facilitate the first Multistage Hydraulic Fracturing (MSF) well in West Kuwait (WK) unconventional reservoir. The study showed that Najmah Kerogen reservoir in WK fields has world-class quality of hydrocarbon potential: average TOC is 10-13%, Kerogen type II/III, mostly in the oil window except some fields have high potential of wet gas/condensate. Thermal maturity increases basin-wards from South-East to North-West. The reservoir is organic-rich mudstone that comprises mainly calcite, dolomite, quartz, kaolinite, and pyrite. In general, the middle unit has lower organic content and higher brittleness compared to the upper and lower one. The reservoir characteristic of the middle unit is favorable for landing the MSF well. The upper unit contains high bitumen amount, so it should be voided in the plan of MSF. Fracture analysis shows the majority of natural fractures are following NNE-SSW direction that in line with regional tectonic understanding and results the favorable drilling direction in NW-SE to ensure the wellbore stability and maximize the efficiency of hydraulic fracturing job. As a result, Field-H was identified as the best candidate to drill the first MSF well in Najmah Kerogen (middle and lower unit) from the outcome of the study. The comprehensive understanding of Najmah Kerogen was crucial to develop unconventional reservoirs in WK fields, especially when the development of unconventional reservoirs is still in the early phase.
Hydrocarbon exploration and production in unconventional reservoir is under-developed in Middle East. Therefore, the understanding about this subject is still scanty which leads to conspicuous uncertainties in comprehensive reservoir evaluation and development. It plays a critical role to minimize the cost of exploration, drilling and operations. Detail plan for core acquisition and study is crucial to provide accurate and sufficient information to unlock the potential of Jurassic unconventional reservoirs in West Kuwait (WK). Hydraulic fracturing has proven to be a successful technique for increasing the productivity of unconventional reservoirs. However, before reaching that step, many factors should be intensively evaluated to minimize the risks. A potential area to place a MSF well should satisfy several criteria: high TOC, hydrocarbon maturity (oil, wet gas, or gas), less bitumen, proper containment to hold the vertical extension of fractures beyond the upper/lower boundary, etc…This paper aims to describe the integrated process of reservoir characterization to identify Najmah Kerogen sweet spots in order to facilitate the first Multistage Hydraulic Fracturing (MSF) well in West Kuwait (WK) unconventional reservoir. The study showed that Najmah Kerogen reservoir in WK fields has world-class quality of hydrocarbon potential: average TOC is 10-13%, Kerogen type II/III, mostly in the oil window except some fields have high potential of wet gas/condensate. Thermal maturity increases basin-wards from South-East to North-West. The reservoir is organic-rich mudstone that comprises mainly calcite, dolomite, quartz, kaolinite, and pyrite. In general, the middle unit has lower organic content and higher brittleness compared to the upper and lower one. The reservoir characteristic of the middle unit is favorable for landing the MSF well. The upper unit contains high bitumen amount, so it should be voided in the plan of MSF. Fracture analysis shows the majority of natural fractures are following NNE-SSW direction that in line with regional tectonic understanding and results the favorable drilling direction in NW-SE to ensure the wellbore stability and maximize the efficiency of hydraulic fracturing job. As a result, Field-H was identified as the best candidate to drill the first MSF well in Najmah Kerogen (middle and lower unit) from the outcome of the study. The comprehensive understanding of Najmah Kerogen was crucial to develop unconventional reservoirs in WK fields, especially when the development of unconventional reservoirs is still in the early phase.
This paper describes the reservoir characterization of a carbonate formation using acoustic and borehole imaging log in a novel way. Interpretation of the interplay between stratigraphic and structural reservoir elements allows additional understanding of the hydrocarbon trapping mechanism and informs decisions on the well testing program and future well placement. High-resolution Borehole Images (BHI) have historically been one of the most widespread geological evaluation tools and they continue to be a cornerstone for providing precise data on the facies and fractures intersected by the well. The shallow depth of investigation of wellbore imaging tools can now also be usefully augmented by the acoustic, Dipole shear processing. Patented Deep Shear Wave Image (DSWI) methodology allows identification of geological interfaces with a depth of investigation up to 110 feet away from the borehole. The processed data bridges the gap between wellbore images and field scale seismic data and so can guide meaningful reservoir descriptions and fracture characterization at the geo-cellular mode scale. Combination of the two separate imaging measurements compensates for the limitation of each logging tool's capabilities and helps increase the range of feature detection from near borehole to as much as 110 or more feet away from the well. The statistically rich borehole imaging data can be used to help confirm the detailed characteristic of these features and how the facies/lithology affect the fracture properties. BHI also calibrate the DSWI features true azimuth, while the DSWI data can help confirm fracture hierarchies and fracture bed interaction away from the borehole. The current study highlighted that the different scales of measurement allow additional quantified analysis of the fracture hierarchy and leads to proposal of conceptual fracture models that recognize bed-bound and non-bed-bound fractures sets. The reservoir itself is highly stratified with intercalations of limestone, mudstone and evaporite. Hydrocarbon (HC) presence, defined by an acoustic derived HC Index (but validated with conventional resistivity logging), suggests that oil is preferentially trapped in successive porous layers, but enhanced in some intervals by the additional presence of fractures. The Reservoir pressure points have indicated that only main faults-oriented NNW-SSE could potentially compartmentalized the reservoir. Additional wells and data integration are needed to confirm it. The DSWI is also useful to calibrate the poor to moderate seismic data in this field by detecting sub-seismic features that have an impact on the reservoir and helps in updating the geological and reservoir model.
Artificial Neural Network (ANN), defined as intelligence exhibited by computer through emulating the functioning of cerebral neurons, has many applications in today's society. ANN application (Ouahed et al, 2005) has become widespread in petroleum geoscience and reservoir engineering as it is able to generate accurate prediction taking an integrated and un-bias view of multiple inputs using supervised or unsupervised machine learning approaches. Unlike simple clastic sandstone reservoirs, the distribution of fractures in carbonate reservoirs is complicated and heterogeneous due to multiple genetic factors involved that makes high-resolution 3D modeling and simulation challenging. In order to enhance the reservoir characterization and modeling work in fractured reservoirs, an innovative application of Artificial Neural Network is introduced to tackle the disadvantages & shortcomings of existing techniques used in the Oil & Gas industry. This paper discusses the importance of ANN to delineate fracture sweet spots of Nahmah/Sargelu carbonate reservoirs in order to optimize drilling strategy in Kra Al-Maru (KM) field, West Kuwait. ANN works as a simulation of human brain, which comprises of highly interconnected neurons. These neurons process and integrate data from various domains to generate a desirable output. Nowadays, the application of ANN is prevalent in the field of fracture characterization and modelling technology because of its supremacy in data prediction and estimation. An integrated Continuous Fracture Modeling (CFM) workflow is established using ANN technology to understand the relationship between 3D seismic attributes and fracture intensity log derived from borehole image (BHI) data in both qualitative and quantitative evaluation (Pinous et al, 2007). ANN plays a critical role as it transforms the learning from seismic-image log relationship to 3D fracture intensity model. Consequently, the fracture sweet spots in the KM field is delineated to gain comprehensive understanding of fracture distribution in the field. The validity of the work is confirmed by blind test from the recent development well. If the result is not satisfactory, the ANN model is fine-tuned until the result matches in the blind test. The success of the study helps to refine the drilling strategy of the challenging KM Field, while reducing the risks and costs significantly.
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