Maya Al-Akkad, P.Eng. Email & Phone Number

Calgary, Ab, Ca

Calgary, Alberta, Canada

Calgary, Alberta, Canada

• Evaluated new drilling locations using simulation (CMG IMEX) and Harmony models. Reservoirs included conventional oil under waterflood and tight liquid-rich reservoirs (horizontal multi-stage fracked wells).• Waterflood management and voidage replacement ratio (VRR) compliance using OilField Manager (OFM), Harmony, and Tableau.

Calgary, Canada Area

• Forecasted performance and recommended new drilling locations in the carbonate Keg River formation for two drilling programs and forecasted the outcome of acid stimulation program.• Built simulation cases starting from static models, history matched the models, included risk factors where not explicitly present in the model, and ran forecast cases and sensitivity analysis for new locations in a drilling program as well as acid stimulation workover program using tNavigator (tNav) including the assisted history matching and Uncertainty module, and Petrel.• Utilized experimental design methodology to quantify uncertainty and risks arising from various connectivity between two pools and variogram length in the geological statistical models, saturation function uncertainty, and bubble point uncertainty (due to the of unavailability of PVT data in some of the pools).• Collaborated with the geologist and the geo-modeller to investigate stochastic vs. deterministic models, in addition to including multiple flow units based on observations during history-matching, hence optimizing the model even beyond the initial stage of geo-modelling. In addition, carried on an analogue study to determine saturation and relative permeability functions.• Booked reserves using Mosaic.

Calgary, Canada Area

Department of Electrical and Computer Engineering. Collaborative project between Baker Hughes, a GE company and the University of Calgary.Fracking optimization in resource play using Artificial Intelligence (AI) and Machine Learning for Baker Hughes, a GE company, Customer Innovation Centre (CIC). •Achieved 99.9% accuracy .• Prepared and performed quality control on the data using reservoir engineering and operational experience and knowledge. • Tested various classification, machine learning, data analytics, and signal processing (for extracting features) approaches to reach optimum model. • Used a combination of algorithms to extract features and characteristics of data and signals. • Achieved 99.9% accuracy .• Worked with both completions and production engineers and data scientists to arrive to a multi-disciplinary solution. • Coding was done in Python.• Collaborative project with the University of Calgary with guidance from professors in electrical and computer engineering. The University of Calgary, department of Electrical and Computer engineering is the NSERC grant holder for industry-university collaboration (NSERC Engage Grant).

Calgary, Canada Area

Tongkun International is the upstream oil and gas business unit of Tongkun Group and is in the process of evaluating assets for acquisition in Western Canadian Sedimentary Basin (WCSB)• Assessed reservoir quality assessment, performed technical analysis and interpreted reservoir parameters.• Generated type curves including IP and EUR, and estimating chance of success of drilling based on offset analysis and geological maps. Decided on the optimum number of fracs for horizontal multistage fracked wells. • Determined decline rates for new drilling locations (including horizontal multistage fracked wells) and wells to be included in waterflood and/or EOR schemes. • Assessed existing waterflood and enhanced oil recovery (EOR) schemes efficiency and/or potential of new schemes as an upside for both tight and conventional reservoirs. • Analyzed operating cost statements and comparing the calculated cost per unit of production with those used by third-party reserves evaluators. • Determined Liability, with special attention to suspended and low-producing wells, which will be targets for near-term abandonment.• Used Excel functions to categorize data and see patterns and trends.

Calgary, Canada

Probabilistic performance forecast for oil sand Steam-Assisted Gravity Drainage (SAGD) development projectson:• Forecasted performance of oil sand SAGD development projects using CMG STARS thermal simulation software and uncertainty analysis through experimental design methodology.• Identified the P10, P50, and P90 values of NPV, cumulative oil, Cumulative SOR, plateau oil rate and other project-specific economic indicators, in addition to their corresponding STARS simulation parameters using response surface modeling and Monte Carlo simulation (Crystal Ball). • Identified the most influential simulation parameters on the value of NPV and the economic indicators tornado diagram. • Reduced cumulative SOR by 25% by optimizing well placement and duration of high-pressure injection (initial period of steam injection) to maximize the growth of steam chamber and well-pair conformance, in addition to minimizing heat losses to top gas, bottom, bottom water, and lean zones, using CMG STARS simulation.• Recommended and presented a workflow regarding the use of artificial neural networks in oil sand development projects (well-pair placement relative to shale barriers). • Constructed and analyzed RF vs. HCPVI (steam) plots for Nexen’s SAGD projects per drainage area using Spotfire and forecasted RF between cumulative SOR values of 7 and 10 to be used in judging the economics of continuing the project or ending it at high cumulative SOR.

Calgary, Canada Area

Projects concentrated on tight and unconventional reservoirs (such as Montney, Halfway/Doig, Upper Mannville (Glauconitic), Cardium, Viking, Belly River, and Spirit River), as well as some projects in conventional reservoirs. • Performed uncertainty analysis of fracture and stimulated area properties using the risk module in the IHS/Fekete Harmony. • Completed sensitivity analysis of the number of stages in a horizontal multistage fracked well in a shale oil reservoir using simulation.• Evaluated land acquisition opportunities in liquid-rich gas reservoir (Montney), using a combination of simulation (compositional CMG GEM) and decline analysis, and applying discounted cash flow and NPV calculations. • Provided a plan to increase liquid-rich tight gas ultimate recovery by 25 to 30% for new horizontal multistage fracked wells by optimizing fracking techniques.• Saved potential costs and losses of millions of dollars by correcting wrongly-defined frac and stimulated reservoir volume properties, which were prepared by previous reservoir engineers, for new horizontal multistage fracked wells. • Evaluated new drilling locations and recompletion candidates using simulation, analytical and numerical models, in addition to rate and pressure transient analysis (RTA and PTA) of offset/analogue wells. • Among recommended wells were horizontal multistage fracked wells in tight oil reservoirs with initial production of 300 bbl/day per well, in addition to horizontal multistage fracked wells in tight liquid-rich gas reservoirs with strong estimated ultimate recovery.• Performed gas and condensate streams recombination calculations.• Booked 1P and 2P reserves for 1000 wells in unconventional reservoirs using Value Navigator and applying the understanding of the reservoir. • Mentored an engineering intern through a waterflood optimization study using surveillance (OFM), and creating simulation models in Petrel and CMG.

• Developed and ran simulations for waterflood management, infill drilling, and field development plans. Simulations included history matching and forecast cases. • Decided on the best development strategy based on simulation studies and economic considerations. • Identified infill drilling locations in a field under waterflood (Beaver Hill Lake B pool) that increased estimated ultimate recovery by 20 percent through a simulation study using ECLIPSE/Petrel, while working for Pengrowth Energy.• Adjusted the goal simulation study of a waterflood field timely as a response to sudden budget change to allow optimization even on tight budget while working for Pengrowth. • Evaluated properties for various EOR strategies. • Determined critical oil rate curves (coning mitigation scenario) and post-breakthrough oil rate curves (breakthrough scenario), in addition to comparing forecasted cumulative production in both scenarios for a typical horizontal well in a heavy oil reservoir (Jenner pool) through applying coning correlations and performing a sensitivity study (of reservoir parameters uncertainty and well path design/length) using Procone software.• Simulated horizontal well coning mitigation case including history matching to determine future optimum pumping rate using Eclipse and Petrel. • Evaluated production performance and producing wells’ responses to waterflood in Swan Hills and Beaver Hill Lake A pools using Oilfield Manager (OFM).• Assessed a previous history match of a large field under waterflood (Carson Creek Beaver Hill Lake C) and identified weaknesses, in addition to ways of improvements.• Identified optimization strategies for fields under waterflood in Goose River Swan Hills through well conversion, volume re-allocation, and infill drilling, using surveillance (OFM), diagnostic plots, and 3DSL streamline optimization.• Assessed bitumen/oil sands properties considering either future development (SAGD or CHOPS) or selling/farm-out.

Calgary, Canada Area

• Provided technical support and consultation to clients for ECLIPSE, Petrel RE, and PVTi regarding primary, waterflood, enhanced oil recovery (EOR), and thermal simulation studies, in addition to surveillance using OFM. The technical support and consultation helped clients in achieving their goals and improve recovery. Technical support was provided through phone, e-mail, Webex and in-person sessions.• Provided training to Schlumberger’s clients on simulation and surveillance software suites and participated in creating training manuals.• Improved performance of a client’s SAGD thermal recovery project through optimizing the subcool using ECLIPSE thermal.• Performed comparison study between Eclipse and FrontSim to determine the optimum usage of each software depending on the simulation scenarios to improve the sales of Frontsim.• Generated sales revenue through optimizing a waterflood scheme for a client using FrontSim during a software evaluation project. As a result, recovery factor was increased, and the client decided to invest in the FrontSim software (owned by Schlumberger) due to their satisfaction with the project outcome.• Recommended to clients various modules and components of Petrel/ECLIPSE suite that would be beneficial to their reservoirs, studies, and targets, in addition to other software suites that complement their technical workflows.• Presented to clients and prospective clients software capabilities and the new functionalities included in new releases.• Liaised with Schlumberger’s clients and software developers to provide feedback regarding features and functionality enhancements to be included in the subsequent releases based on insights gained about clients’ studies and technical needs and tested beta version of Petrel. • Collaborated with the marketing and sales teams to help in software marketing.• Was promoted to the next grade in Schlumberger grade system based on ECLIPSE/FrontSim comparison project, and the required interviews.

Calgary, Canada Area

• Analyzed Enhanced Oil Recovery (EOR) projects in Alberta and Saskatchewan pools to either optimize current projects or assess the potential of future ones. The EOR studies included water flooding, CO2 and solvent injection, cyclic steam injection and SAGD process, and were done using material balance, analogue field studies, decline analysis, conformance plots, and analytical correlations and models.• Analyzed the economic aspects of CO2 injection and sequestration in various quantities into an Alberta pool.

Calgary, Canada Area

• Performed production surveillance using Oilfield Manager (OFM). • Modeled pressure in a pool of 31 wells using OilField Manager (OFM). • Reviewed historical production/stimulation data and extracted data from well test reports for well optimization and infill drilling studies for Shell Canada Ltd.• Performed petrophysical log analysis and formation evaluation.

Phd. Student, Machine Learning, Department Of Electrical And Computer Engineering

Physics-informed Neural Networks. In-progress.

Master Of Science (M.Sc.), Electrical And Computer Engineering

Activities and Societies: Association of Professional Engineers and Geoscientists of Alberta (APEGA), Women in Science and Engineering.

Bachelor Of Science (B.Sc.), Mechanical Engineering

Activities and Societies: Association of Professional Engineers and Geoscientists of Alberta (APEGA).Women in Science and Engineering.