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Collaborating Authors
Yaqoob, Tanveer
Combined Investigation of Effects of Contact Stresses, Pore Size and Rotary Dynamics on Mud Plastering in Prevention of Lost Circulation in Weak Zones during Casing Drilling
Meza, Oscar Grijalva (Joachim Oppelt Institute of Petroleum Engineering, Clausthal University of Technology) | Yaqoob, Tanveer (Joachim Oppelt Institute of Petroleum Engineering, Clausthal University of Technology) | Bello, Opeyemi (Joachim Oppelt Institute of Petroleum Engineering, Clausthal University of Technology) | Boulakhrif, Faissal (Joachim Oppelt Institute of Petroleum Engineering, Clausthal University of Technology) | Holzmann, Javier (Joachim Oppelt Institute of Petroleum Engineering, Clausthal University of Technology)
Abstract While drilling with casing stands instead of the classic drill pipe (CwD), the reduced standoff between wellbore wall and the rotating, sliding and bending tubular plays a critical role by "crushing and hammering" the formation cuttings into the formation. This plastering effect has demonstrated to be not only beneficial to hinder the losses of drilling mud into the formation but also to improve wellbore stability and later productivity in terms of lower skin values. Field trials have established that monitoring of cutting sizes accumulated on the shakers and their correlation to the formation pore sizes (through offset match or well tests) can be an effective approach to improvise on the mud particle size for effective particle bridging and formation sealing. To enhance the mitigation of CwD-induced losses and formation damage, however, the horizon of investigation has to be broadened to include the size of radial clearance, rotating speed (RPM) and pump hydraulics. Assuming the cutting and mud smearing to be the result of point contact forces altering the near-wellbore stresses (confining stresses), the above parameters cause a repeated but unsynchronized invasion of particles in the initial micro fractures created due to bit interaction. Depending on the RPM, radial clearance and the resulting induced lateral drillstring movement, the magnitude of the contact force / hoop stresses increases within the original fracture-gradient limits. This improves formation sealability and results in an altered (enhanced) pore- and fracture gradient in the near-wellbore region. The paper discusses the effect of Geo-mechanical and mechanical aspects of Plastering during Casing Drilling in Weak or depleted wellbores. The experimental analyses incorporates the combined effect of the point contact-forces through base drilling parameters, alongside highlighting the approach for field mud particle-size improvisation. Altogether, a broader panorama concerning the contribution of Casing Drilling to Well Integrity has been presented, setting the path to further experimental work.
- North America > United States (1.00)
- Asia (1.00)
- Europe (0.68)
- South America (0.68)
- Research Report > New Finding (0.34)
- Research Report > Experimental Study (0.34)
- South America > Colombia > Santander Department > Middle Magdalena Basin > La Cira Infantas Field (0.99)
- Oceania > Australia > Western Australia > North West Shelf > Carnarvon Basin > Dampier Basin > WA-209-P > Stag Field (0.99)
- Oceania > Australia > Western Australia > North West Shelf > Carnarvon Basin > Dampier Basin > WA-15-L > Stag Field (0.99)
Abstract The pre-salt Coquina Carbonate beds in the Santos Basin are the prime focus of major oil producers in the region. In addition to the thick, unstable salt layers posing borehole stability and casing issues, a primary challenge in the appraisal of the faulted Coquina reserves is the handling of immense downhole losses in the weaker and occasionally fractured carbonate layers just below the salt strata. Although the bottomhole pressure limitations posed by conventional drilling have been eliminated by Managed Pressure Drilling attempts, the transition has also brought along a new set of technical challenges such as: Instability in wells while tripping and high fluid losses while restoring control Failed attempts to regain control in loss zones by pumping lost circulation material/cement into fractures Difficulty in zonal isolation, even with Managed Pressure Cementing Pore plugging and reservoir damage due to placement of cement as lost circulation material Wellbore depletion and differential sticking tendency during shut-in time Limitations on the use of Positive Displacement Motors due to additional pressure fluctuations The paper reviews the above challenges as planning and technological gaps suppressing the production prospects and investigates the application of Pressurized Mud Cap Drilling and Constant Bottomhole Pressure techniques with controlled Gas-Influx as an effective approach in mitigating the constraints by aligning the bottomhole pressure and the pore pressure. A case study for immense downhole losses in the reservoir interval has been presented. The results of feasibility analysis on reported case histories depict that circulating out the influxes while drilling with improved Surface Back Pressure systems minimizes losses, improves completion quality and reduces shut-in gaps.
- South America > Brazil > Brazil > South Atlantic Ocean (0.62)
- South America > Brazil > Rio de Janeiro > South Atlantic Ocean (0.47)
- Geology > Rock Type > Sedimentary Rock > Clastic Rock (0.93)
- Geology > Geological Subdiscipline (0.90)
- Geology > Structural Geology > Tectonics > Salt Tectonics (0.76)
- Geology > Mineral > Halide > Halite (0.66)
- South America > Brazil > Brazil > South Atlantic Ocean > Santos Basin (0.99)
- South America > Brazil > Espírito Santo > Espirito Santo Basin (0.98)
- South America > Brazil > Rio de Janeiro > South Atlantic Ocean > Santos Basin > Block BM-S-11 > Tupi Field > Lula Formation (0.94)
- (10 more...)
Application of Artificial Intelligence Techniques in Drilling System Design and Operations: A State of the Art Review and Future Research Pathways
Bello, Opeyemi (Institute of Petroleum Engineering, Clausthal University of Technology) | Teodoriu, Catalin (Mewbourne School of Petroleum and Geological Engineering, University of Oklahoma) | Yaqoob, Tanveer (Institute of Petroleum Engineering, Clausthal University of Technology) | Oppelt, Joachim (Institute of Petroleum Engineering, Clausthal University of Technology) | Holzmann, Javier (Institute of Petroleum Engineering, Clausthal University of Technology) | Obiwanne, Alisigwe (Institute of Petroleum Engineering, Clausthal University of Technology)
Abstract Artificial Intelligence (AI) has found extensive usage in simplifying complex decision-making procedures in practically every competitive market field, and oil and gas upstream industry is no exception to it. AI involves the use of sophisticated networking tools and algorithms in solving multifaceted problems in a way that imitates human intellect, with the aim of enabling computers and machines to execute tasks that could earlier be carried out only through demanding human brainstorming. Unlike other simpler computational automations, AI enables the designed tools to "learn" through repeated operation, thereby continuously refining the computing capabilities as more data is fed into the system. Over the years, AI has led to significant designing and computation optimizations in the global Petroleum Exploration and Production (E&P) industry, and its applications have only continued to grow with the advent of modern drilling and production technologies. Tools such as Artificial Neural Networks (ANN), Generic Algorithms, Support Vector Machines and Fuzzy Logic have a historic connection with the E & P industry for more than 16 years now, with the first application dated in 1989 for development of an intelligent reservoir simulator interface, and for well-log interpretation and drill bit diagnosis through neural networks. Devices and softwares with basis from the above mentioned AI tools have been proposed to abridge the technology gaps hindering automated execution and monitoring of key reservoir simulation, drilling and completion procedures including seismic pattern recognition, reservoir characterisation and history matching, permeability and porosity prediction, PVT analysis, drill bits diagnosis, overtime well pressure-drop estimation, well production optimization, well performance projection, well / field portfolio management and quick, logical decision making in critical and expensive drilling operations. The paper reviews and analyzes this successful integration of AI techniques as the missing piece of the puzzle in many reservoir, drilling and production aspects. It provides an update on the level of AI involvement in service operations and the application trends in the industry. A summary of various research papers and reports associated with AI usage in the upstream industry as well as its limitations has been presented.
- North America > United States > Texas (0.48)
- Asia > Middle East > Iran (0.46)
- Geophysics > Borehole Geophysics (0.86)
- Geophysics > Seismic Surveying (0.68)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (1.00)
- Information Technology > Artificial Intelligence > Representation & Reasoning > Uncertainty > Fuzzy Logic (0.89)
- Information Technology > Artificial Intelligence > Machine Learning > Statistical Learning > Support Vector Machines (0.69)