Slow drilling refers to the rate of penetration (ROP) which is not in a
desired level. ROP is defined as the speed at which the drill bit can break
the rock under it and thus deepen the wellbore. This speed is usually
reported in units of feet per hour (ft/hr) or meters per hour (Schlumberger
glossary). ROP is one of the indicators and operational parameters for
evaluating drilling performance. Slow drilling is the result of this performance. In addition, drilling efficiency will have the desired effects on costs
when all critical operational parameters are identified and analyzed. These
parameters are referred to as performance qualifiers (PQs). PQs include
footage drilled per bottomhole assembly (BHA), downhole tool life, vibrations control, durability, steering efficiency, directional responsiveness,
ROP, borehole quality, etc.
Most of the factors that affect ROP have influencing effects on other
PQs. These factors can be grouped into three categories: i) planning, ii)
environment, and iii) execution. The planning group includes hole size,
well profile, casing depths, drive mechanism, bits, BHA, drilling fluid (i.e.,
type, and rheological properties), flow rate, hydraulic horsepower, and hole
cleaning, etc. In environmental, factors such as lithology types, formation
drillability (i.e., hardness, abrasiveness, etc.), pressure conditions (i.e., differential, and hydrostatic) and deviation tendencies are included. Weight
on bit (WOB), RPM and drilling dynamics belong to the execution category. ROP can be categorized into two main types: i) instantaneous, and
ii) average. Instantaneous ROP is measured over a finite time or distance,
while drilling is still in progress. It gives a snapshot perspective of how a
particular formation is being drilled or how the drilling system is functioning under specific operational conditions. Average ROP is measured over
the total interval drilled by a respective BHA from trip-in-hole (TIH) to
pull-out-of-hole (POOH).
It has long been known that drilling fluid properties can dramatically
impact drilling rate. This fact was established early in the drilling literature, and confirmed by numerous laboratory studies. Several early studies focused directly on mud properties, clearly demonstrating the effect of
kinematic viscosity at bit conditions on drilling rate. In laboratory conditions, penetration rates can be affected by as much as a factor of three by
altering fluid viscosity. It can be concluded from the early literature that
drilling rate is not directly dependent on the type or amount of solids in
the fluid, but on the impact of those solids on fluid properties, particularly
on the viscosity of the fluid as it flows through bit nozzles. This conclusion
indicates that ROP should be directly correlated to fluid properties which
reflect the viscosity of the fluid at bit shear rate conditions, such as the
plastic viscosity. Secondary fluid properties reflecting solids content in the
fluid should also provide a means of correlating to rate of penetration, as
the solids will impact the viscosity of the fluid.
2.1.7.1 Factors Affecting Rate of Penetration
Factors that affect the ROP are numerous and perhaps important variables.
These variables are not recognized well up to-date. A rigorous analysis of
ROP is complicated by the difficulty of completely isolating the variables
under study. For example, the interpretation of field data may involve
uncertainties due to the possibility of undetected changes in rock properties. Studies of drilling fluid effects are always plagued by difficulty of
preparing two muds having all properties identical except one which is
under observation. While it is generally desirable to increase penetration
rate, such gains must not be made at the expense of overcompensating detrimental effects. The fastest ROP does not necessarily result in the lowest
cost per foot of drilled hole. Other factors such as accelerated bit wear,
equipment failure, etc., may raise the cost.
The factors that have an effect on ROP are listed under two general
classifications such as environmental and controllable. Table 2.2 shows the
list of parameters based on these two categories. Environmental factors
such as formation properties and drilling fluids requirements are not controllable. Controllable factors such as weight on bit, rotary speed, and bitthe cost per foot drilled. The most important variables that affect the ROP
are: i) bit type, ii) formation characteristics, iii) bit operating conditions
(i.e., bit type, bit weight, and rotary speed), iv) bit hydraulics, v) drilling
fluid properties, and vi) bit toot wear.
1. Personal Efficiency: The manpower skills, and experiences are referred
to as personal efficiency. Given equal conditions during drilling/completion operations, personnel are the key to the success or failure of those
operations and ROP is one of them. Overall well costs as a result of any
drilling/completion problem can be extremely high. Therefore, continuing
education and training for personnel is essential to have a successful ROP
and drilling/completion practices.
2. Rig Efficiency: The integrity of drilling rig and its equipment, and maintenance are major factors in ROP and to minimizing drilling problems.
Proper rig hydraulics (e.g., pump power) for efficient bottom and annular hole cleaning, proper hoisting power for efficient tripping out, proper
derrick design loads, drilling line tension load to allow safe overpull in
case of a sticking problem, and well-control systems (e.g., ram preventers,
annular preventers, internal preventers) that allow kick control under any
kick situation are all necessary for reducing drilling problems and optimization of ROP. Proper monitoring and recording systems that monitor
trend changes in all drilling parameters are very important to rig efficiency.
These systems can retrieve drilling data at a later date. Proper tubular hardware specifically suited to accommodate all anticipated drilling conditions,
and effective mud-handling and maintenance equipment will ensure that
the mud properties are designed for their intended functions.
3. Formation Characteristics: The formation characteristics are some
of the most important parameters that influence the ROP. The following
formation characteristics affect the ROP: i) elasticity i.e., elastic limit, ii)
ultimate strength, iii) hardness and/or abrasiveness, iv) state of underground formations stress, v) stickiness or balling tendency, vi) fluid content and interstitial pressure, and vii) porosity and permeability. Among
these parameters, the most important formation characteristics that affect
the ROP are the elastic limit and ultimate strength of the formation. The
shear strength predicted by the Mohr failure criteria sometimes is used to
characterize the strength of the formation.
The elastic limit and ultimate strength of the formation are the most
important formation properties affecting penetration rate. It is mentioned that the crater volume produced beneath a single tooth is inversely
proportional to both the compressive strength of the rock and the shear
strength of the rock. The permeability of the formation also has a significant effect on the penetration rate. In permeable rocks, the drilling fluid
filtrate can move into the rock ahead of the bit and equalize the pressure
differential acting on the chips formed beneath each tooth. It can also be
argued that the nature of the fluid contained in the pore space of the rock
also affects this mechanism since more filtrate volume would be required
to equalize the pressure in a rock containing gas than in a rock containing liquid. The mineral composition of the rock also has some effect on
penetration rate.
To determine the shear strength from a single compression test, an average angle of internal friction varies from about 30 to 40° from the most
rock. The following model has been used for a standard compression test:
The threshold force or bit weight (W/d)
t
required to initiate drilling was
obtained by plotting drilling rate as a function of bit weight per bit diameter and then extrapolating back to a zero drilling rate. The laboratory correlation obtained in this manner is shown in Figure 2.17.
The other factors such as permeability of the formation have a significant effect on the ROP. In permeable rocks, the drilling fluid filtrate can
move into the rock ahead of the bit and equalize the pressure differential
acting on the chips formed beneath each tooth. Formation as nearly an
independent or uncontrollable variable is influenced to a certain extent by
hydrostatic pressure. Laboratory experiments indicate that in some formations increased hydrostatic pressure increases the formation hardness or
reduces its drill-ability. The mineral composition of the rock also has some
effect on ROP. Rocks containing hard, abrasive minerals can cause rapid
dulling of the bit teeth. Rocks containing gummy clay minerals can cause
the bit to ball up and drill in a very inefficient manner.
4. Mechanical Factors: The mechanical factors are also sometimes
described as bit operating conditions. The following mechanical factors
affect the ROP: i) bit type, ii) rotary speed, and iii) weight on bit.
Bit Type: The bit type selection has a significant effect on rate of penetration. For rolling cutter bits, the initial penetration rates for shallow depths
are often highest when using bits with long teeth and a large cone off set
angle. However, these bits are practical only in soft formations because
of rapid tooth wear and sudden decline in penetration rate in harder formations. The lowest cost per foot drilled usually is obtained when using
the longest tooth bit that will give a tooth life consistent with the bearing
life at optimum bit operating conditions. The diamond and PDC bits are
designed for a given penetration per revolution by the selection of the size
and number of diamonds or PDC blanks. The width and number of cutters can be used to compute the effective number of blades. The length of
the cutters projecting from the face of the bit (less the bottom clearance)
can limit the depth of the cut. The PDC bits perform best in soft, firm, and
medium-hard, nonabrasive formations that are not gummy. Therefore, the
bit type selection must be considered, i.e., whether a drag bit, diamond bit,
or roller cutter bit must be used, and the various tooth structures affect to
some extent the drilling rate obtainable in a given formation.
Figure 2.18 shows the characteristic shape of a typical plot of ROP vs.
WOB obtained experimentally where all other drilling variables remain
constant. No significant penetration rate is obtained until the threshold
bit weight is exceeded (point a). ROP increases gradually and linearly with
increasing values of bit weight for low-to-moderate values of bit weight
(segment ab). A linear sharp increase curve is again observed at the high
bit weight (segment bc). Although the ROP vs. WOB correlations for the
discussed segments (ab and bc) are both positive, segment bc has a much
steeper slope, representing increased drilling efficiency. Point b is the transition point where the rock failure mode changes from scraping or grinding
to shearing. Beyond point c, subsequent increases in bit weight cause only
slight improvements in ROP (segment cd). In some cases, a decrease in ROP
is observed at extremely high values of bit weight (segment de). This type
of behavior sometimes is called bit floundering (point d – bit floundering
point). The poor response of ROP at high WOB values is usually attributed
to less-efficient hole cleaning because of a higher rate of cuttings generation, or because of a complete penetration of a bit’s cutting elements into
the formation being drilling, without room or clearance for fluid bypass.
ii) Rotary Speed: Figure 2.19 shows a characteristic shape typical response
of ROP vs. rotary speed obtained experimentally where all other drilling
variables remain constant. Penetration rate usually increases linearly with
increasing values of rotary speed (N) at low values of rotary speed (segment ab). At higher values of rotary speed (after point b, segment b to c),
the rate of increase in ROP diminishes. The poor response of penetration
rate at high values of rotary speed usually is also attributed to less efficient bottom-hole cleaning. Here, the bit floundering is due to less efficient
bottom-hole cleaning of the drill cuttings.
Maurer (1962) developed a theoretical equation for rolling cutter bits
relating ROP to bit weight, rotary speed, bit size, and rock strength. The
equation was derived from the following observations made in single-insert
iii) Weight on Bit: The significance of WOB can be shown as explained by
Figure 2.18. The figure shows that no significant penetration rate is obtained
until the threshold bit weight (Wt
) is applied (Segment oa, i.e., up to point
a). The penetration rate then increases rapidly with increasing values of bit
weight (Segment ab). Then a constant rate in increase (linear) in ROP is
observed at moderate bit weight (Segment bc). Beyond this point (c), only
a slight improvement in the ROP (segment cd) is observed. In some cases, a
decrease in penetration rate is observed at extremely high values of bit weight
(Segment de). This behavior is called bit floundering. It is due to less efficient
bottom-hole cleaning (because the rate of cutting generation has increased).
5. Drilling Fluid Properties: The properties of the drilling fluid reported
to affect the penetration rate include: i) density, ii) rheological flow properties, iii) filtration characteristics, iv) solids content and size distribution,
and v) chemical composition. ROP tends to decrease with increasing fluid
density, viscosity, and solids content. It tends to increase with increasing
filtration rate. The density, solids content, and filtration characteristics of
the mud control the pressure differential across the zone of crushed rock
beneath the bit. The fluid viscosity controls the parasitic frictional losses
in the drillstring and, thus, the hydraulic energy available at the bit jets
for cleaning. There is also experimental evidence that increasing viscosity
reduces penetration rate even when the bit is perfectly clean. The chemical composition of the fluid has an effect on penetration rate, such that
the hydration rate and bit balling tendency of some clays are affected by
the chemical composition of the fluid. An increase in drilling fluid density causes a decrease in penetration rate for rolling cutter bit. An increase
in drilling fluid density causes an increase in the bottom hole pressure
beneath the bit and, thus, an increase in the pressure differential between
the borehole pressure and the formation fluid pressure.
6. Bit Tooth Wear: Most bits tend to drill slower as the drilling time elapses
because of tooth wear. The tooth length of milled tooth rolling cutter bits
is reduced continually by abrasion and chipping. The teeth are altered by
hard facing or by case-hardening process to promote a self-sharpening
type of tooth wear. However, while this tends to keep the tooth pointed, it
does not compensate for the reduced tooth length. The teeth of tungsten
carbide insert-type rolling cutter bits and PDC bits fail by breaking rather
than by abrasion. Often, the entire tooth is lost when breakage occurs.
Reductions in penetration rate due to bit wear usually are not as severe for
insert bits as for milled tooth bits unless a large number of teeth are broken
during the bit run.
7. Bit Hydraulics: Significant improvements in penetration rate could be
achieved by a proper jetting action at the bit. The improved jetting action
promoted better cleaning of the bit face as well as the hole bottom. There
exists an uncertainty on selection of the best proper hydraulic objective
function to be used in characterizing the effect of hydraulics on penetration rate. Bit hydraulic horsepower, jet impact force, Reynolds number,
etc., are commonly used objective functions for describing the influence of
bit hydraulics on ROP.
8. Directional and Horizontal Well Drilling: Since the 1980s, when the
horizontal well technology was ‘perfected’, the majority of the wells in the
developed world use horizontal wells. This is also accompanied by inclined
and directional wells that had already gained usefulness in offshore drilling. Common field of applications for directional and horizontal drilling
are in offshore and onshore, where vertical wells are impractical to drill or
much higher return for investment is assured with horizontal wells. Over
the last three decades, there has been a major shift from vertical to horizontal wells. The use of horizontal wells has allowed for greater formation
access. As more and more horizontal wells are drilled, the cost of horizontal well drilling declines. As IEA report (2016) indicates, over the past
decades, lateral lengths have increased from 2,500 feet to nearly 7,000 feet
and, at the same time, we have seen nearly a threefold increase in drilling
rates (feet/day). This is shown in Figure 2.20. Even though such an increase
in efficiency in horizontal well has driven the drilling cost down, the technology has not caught on in the developing countries, where horizontal
wells are still deemed prohibitively expensive.
The major applications of directional drilling are to i) develop the fields
which are located under population centers, ii) drill wells where the reservoir is beneath a major natural obstruction, iii) sidetrack out of an existing well bore, and iv) elongate reservoir contact and thereby enhance well
productivity (Hossain and Al-Majed, 2015).
9. Improve ROP in Field Operations: Time spent to drill ahead is usually
a significant portion of total well cost. Rotating time usually accounts for
10% to 30% of well cost in typical wells. This means that the penetration rate
achieved by the drill bit has considerable impact on reduction on drilling
cost. A method has been developed to identify which factors are controlling ROP in a particular group of bit runs. The method uses foot-based mud
logging data, geological information, and drill bit characteristics to produce
numerical correlations between ROP and applied drilling parameters or
other attributes of drilling conditions. These correlations are then used to
generate recommendations for maximizing ROP in drilling operations. The
objective of this method is to quantify the effects of operationally controllable variables on ROP. To reveal the effects of these variables, data sets must
be constructed so as to minimize variation in environmental conditions. The
first step is therefore to select a group of bit runs made with the same bit
size through similar formations. Next, intervals of consistent lithology are
identified with a preference for formations exhibiting lateral homogeneity.
Formations such as shale and limestone are in general more suitable than
variable lithologies such as sandstone. Rock property logs can be used to verify comparability. Further sorting can be made depending on the objectives
of each specific analysis to separate bit runs in different mud types with different classes of bit or to separate intervals drilled with sharp bits versus those
in worn condition. Each step helps to further expose the effects on ROP of
bit design, and mechanical or hydraulic drilling parameters. Once intervals
have been selected and sorted, numerical averages of the variables of interest
are obtained. This is critical because many sources of error exist in drilling
parameter measurements, and improvement in data quality. Averaging to
raise sample size is the most obvious method to minimize the effects of error.
Figure 2.21 shows a log, for which data have been extracted and averaged from an interval of shale early in the bit run, prior to a drop in ROP
related to bit wear in a sandstone. This process would then be repeated
for other bit runs made through the same stratigraphic interval, yielding a
data set suitable for analysis. For example, BP Exploration customized petrophysical software which is used to automate the extraction and averaging
of drilling data though manual processing from paper logs. Once data are
prepared, correlation analysis is performed in conventional spreadsheets.
Cross plots are used to seek visible correlations between ROP and the independent variables, and statistics functions are used to establish the degree
of correlation and to build models for prediction of ROP.