Orlando Bohorquez - Sr. Drilling Engineer
This blog has exclusively academic content as an Ad Honorem contribution to the research center of the Faculty of Petroleum and Natural Gas, Drilling chapter of the National University of Engineering. I am a Petroleum Engineer graduated from the National University of Engineering of Peru. I work in an oil and gas company as Sr. Drilling Engineer with more than 14 years of experience and working in different countries as a Argentina, Angola, Colombia, Venezuela and Perú.
Some professional challenges:
1.-Drilling Extended Reach wells in Camisea Project, Block 88 and 56. Well type "J" Cat.5 with Offshore in Land operations in Ucayali Basin going Through Vivian, Nia, Noi and Copacabana Formations. 2. Drilling Unconventional wells HP-HT in la Calera Project. Horizontal wells Cat.5 in Neuquén Basin going through Quintuco, Vaca Muerta, Tordillo formations. 3. Drilling Wildcats Exploration Wells in Ene Basin. Vertical wells, Cat.5 going Through Chonta, Raya, Cushabatay, Ambo formations. 4. Drilling Tight gas wells in Centenario Field. Wells type "S". Cat.3 in Neuquén Basin. Quintuco, Molles and Lajas formations. 5.Drilling Exploratory well in Angola. Vertical Wells Cat.4 in Congo Basin going through Pinda, Loeme ( evaporite), Lucula, Bucomazi, Mayombe Formations. 6. Drilling wells campaigns in the Jungle, Yanayacu, Corrientes, Jibarito and Capahuari Sur Fields. Wells type horizontal Cat.3 with offshore in Land in Marañon Basin going through Pebas, Chambira, Yahuarango, Vivian, Chonta, Agua Caliente, Raya, cushabatay formations. 7. Drilling Reentry wells campaign in the jungle in Corrientes, Capahuari Sur and Pavayacu Fields in Marañon Basin. Wells Cat3. Going through Lower Red Beds, Cachiyacu, Vivian formations. 8. Drilling training in Talara Basin. Vertical Wells Cat2. Marginal field going through Verdum, Pariñas Sup, Mogollon, Basal Salinas formations. 9. Training in Production in the jungle as design engineer in electric sumergible pump , gas lift and then as a Battery operator in Corrientes, Pavayacu and Saramuro, trainning in CCTQ, some challenges with heavy oil production ( 15 API) water drive reservoirs. 10. Start-up Family Business about Energy ABV Ingenieros Consultores SAC, about rural Electrification projects. Co-Founder ( Not related to the hydrocarbon sector).
Tuesday, November 1, 2022
Wednesday, June 2, 2021
EARNED VALUE MANAGEMENT
ETC = EAC – AC
EV =%Physical Advancement × BAC
Friday, October 23, 2020
PROJECT EVALUATION
Exploration Risk :
The ALARP principle is sometimes used in the oil and gas industry . The use of the ALARP principle may be interpreted as, satisfying a requirement to keep the risk level “as low as possible” provided that the ALARP evaluations are extensively documented. In the ALARP region (between “lower tolerable limit” and “upper tolerable limit”), the risk is tolerable, only if risk reduction is impracticable or if its cost is grossly disproportionate to the improvement gained. The common way to determine what is practicable is to use cost–benefit evaluations as a basis for the decision on whether certain risk reducing measures should be implemented. A risk may not be justified in any ordinary circumstance, if it is higher than the “upper tolerable limit.” The “upper tolerable limit” is usually defined, whereas the “lower tolerable limit” may sometimes be left undefined. This will not prohibit effective use of the approach, as it implies that ALARP evaluations of risk reducing measures will always be required. The ALARP principle used for risk acceptance is applicable to risks regarding personnel, the environment, and assets.
Layers of Protection Analysis (LOPA)
Percentil P10, P50, Pmean, P90 :
One technique that the industry uses to understand and quantify distributions of data is percentiles (or cumulative probabilities). This organizes the distribution into increments between 0 and 100. For example, the 10th percentile or P10 number say 10 percent of my wells will have a value “less than or equal to” my P10 value. The location of percentiles on a typical lognormal distribution would look something like:
Comparing to the P10, which could potentially give estimates that are over-optimistic, and the P90, a conservative estimate which could potentially leave too much oil, both providing confusing future trends. It is a common misunderstanding that the P50 is a synonym of P mean. This will be true is the probability distribution function for the observations were symmetrical. In this case, the mode, P mean and P50 would all be the same.
· N = OOIP (STB)
· 7758 = conversion factor from acre-ft to bbl
· A = area of reservoir (acres) from map data
· h = height or thickness of pay zone (ft) from log and/or core data
· ø = porosity (decimal) from log and/or core data
· Sw = connate water saturation (decimal) from log and/or core data
· Boi = formation volume factor for oil at initial conditions (reservoir bbl/STB) from lab data
· G = OGIP(SCF)
· 43560 = conversion factor from acre-ft to ft3
· Bgi = formation volume factor for gas at initial conditions (reservoir ft3/SCF)
· Solution gas : 18 – 25%
· Expansion : 2 – 5%
· Gas cap drive : 20 – 40%
· Water Drive (bottom) : 20 – 40%
· Water Drive (Edge) : 35 – 60%
· Gravity : 50 – 70%
Recovery Oil reserve = OOIP or OGIP x RF
"D" represents the value of the cash flows for each of the exercises, "i" the interest rate expected to be obtained or the rate of return of an investment of risk and similar duration and "n" the number of periods that it is estimated of the operation of the company.
Cash Outflows (expenditure)
- Initial investment to purchase assets
- Operating costs such as labor and materials
- Tax payments
- Project management expenses
- Any other outflow caused by accepting the project
Cash Inflows (income)
- Project revenues and grants
- Eventual scrap value of assets
- Any other inflow caused by accepting the project
LOGISTIC
DRILLING RIGS 2
DIRECTIONAL 2
When drilling a well there is a risk of serious damage caused by drillstring vibrations. Shock and vibration are identified as a cause of premature failure on drill bit and components in the bottom hole assembly (BHA), resulting in lost time for operators and costing service companies several millions in repair each year. The expenditures incurred by drillstring vibrations include reduced rate of penetration (ROP), tripping and poor drilling performance. Currently, several tools and techniques are used in the attempt to minimize shock and vibration. For vibration mitigation to be more effective in the future, the most effective tools and techniques must be designated, implemented and improved.
Predicting bottom hole assembly (BHA) vibrations is a complicated problem. Axial, lateral, and torsional vibrations can be coupled and effects such as stick-slip and whirl can magnify the loads. Fatigue, pipe bouncing, and tool joint washouts demon e the complexity of the problem. One type of vibration that can be isolated and analyzed is the rapid destruction of the BHA caused by operating at or close to resonance. At rotating speeds that reinforce the natural vibration of the BHA, the destructive harmonics generate high stresses resulting in very short fatigue life. While other factors may cause BHA failure, a significant percentage of field failures appear to be associated with harmonic vibration, particularly lateral vibration. A simplified model based on harmonic analysis using finite elements has been found to agree well with field experience. The influence of stabilizer placement, drill string forces, and mass of the drilling mud are included in the finite element vibration model. (SPE-16675-MS)
AXIAL VIBRATION : Can cause bit bounce , which may damage bit cutter and bearing.
TORSIONAL VIBRATION : Can cause irregular down - hole rotation. Stick/Slip is often seen while drilling and is a severe form of drillstring torsional oscillation in which the bit becomes stationary for a period. Torsional fluctuations fatigue Drill collars connections and can damage bits. The use of the mud motor may help to address if the main source of excitation is from the bit but the presences of a motor does not prevent stick/slip . The drillstring and BHA above the motor can enter into a stick/Slip motion even when the motor is turning the bit a steady rate.
Figure5 shows diagram for each of the three BHA configurations. Note that there are two stabilizers configured in BHA-2. The stabilizer is located at the far left to the bit in BHA-3 compare with BHA-2. There is one stabilizer used in BHA-1 near the bit. The detail descriptions are as following:
Figure6 provides state vectors display comparison for three of BHA surrogates operation at 100RPM and 80000N of bit weight. The lateral vibration potential simulation for BHA-1 is significantly lower than BHA 2 and BHA-3. Especially for the lateral displacement, the effect is most remarkably, which means that the contacts for BHA-1 with wellbore may be less than other BHA surrogates during drilling process. However, the yellow color curve shows the larger amplitudes of the states for BHA-2 than others, which represents the most severe vibration potential.
Cómo calcular el MTBF ( MEAN TIME BETWEEN FAILURES)
El cálculo del MTBF se hace con base en la diferencia entre el tiempo total disponible y el tiempo perdido, dividiendo por el número de paradas. La fórmula se representa con la siguiente expresión: