1460752362-64b45387-5c2c-4ca7-a44c-12bf330c3504

1. An isolated polynucleotide encoding a protein selected from the group consisting of:
(A) a protein comprising the amino acid sequence of SEQ ID NO:5, and
(B) a protein comprising the amino acid sequence of SEQ ID NO:5, but which includes substitution, deletion, insertion andor addition of one to 20 amino acids, and wherein said protein is able to catalyze a reaction in which an \u03b1-amino acid of formula (1):
is reacted with an aldehyde of formula (II):
to form a serine derivative of formula (III):
wherein R1 is selected from the group consisting of an alkyl group having 1 to 7 carbon atoms, an aryl group having 6 to 14 carbon atoms, a cycloalkyl group having 3 to 10 carbon atoms, an aralkyl group having 7 to 19 carbon atoms, an alkoxyalkyl group having 2 to 11 carbon atoms, a group containing a hetero atom in the carbon skeleton thereof, and a group containing a carbon-carbon unsaturated bond in the carbon skeleton thereof, wherein these groups may be straight or branched, may have alicyclic hydrocarbon structure and may further have a substituent,
wherein R2 is selected from the group consisting of hydrogen, an alkyl group having 1 to 7 carbon atoms, an aryl group having 6 to 14 carbon atoms, a cycloalkyl group having 3 to 10 carbon atoms, an aralkyl group having 7 to 19 carbon atoms, an alkoxyalkyl group having 2 to 11 carbon atoms, a group containing a hetero atom in the carbon skeleton thereof, and a group containing a carbon-carbon unsaturated bond in the carbon skeleton thereof, wherein these groups may be straight or branched, may have an alicyclic hydrocarbon structure and may further have a substituent.
2. An isolated polynucleotide selected from the group consisting of:
(a) a polynucleotide comprising the nucleotide sequence of SEQ ID NO:4, and
(b) a polynucleotide that hybridizes with a polynucleotide having a nucleotide sequence complementary to the nucleotide sequence of SEQ ID NO:4 under stringent conditions and encodes a protein which is able to catalyze a reaction in which an \u03b1-amino acid of formula (I):
is reacted with an aldehyde of formula (II):
to form a serine derivative of formula (III):
wherein R1 is selected from the group consisting of an alkyl group having 1 to 7 carbon atoms, an aryl group having 6 to 14 carbon atoms, a cycloalkyl group having 3 to 10 carbon atoms, an aralkyl group having 7 to 19 carbon atoms, an alkoxyalkyl group having 2 to 11 carbon atoms, a group containing a hetero atom in the carbon skeleton thereof, and a group containing a carbon-carbon unsaturated bond in the carbon skeleton thereof, wherein these groups may be straight or branched, may have an alicyclic hydrocarbon structure and may further have a substituent,
wherein R2 is selected from the group consisting of hydrogen, an alkyl group having 1 to 7 carbon atoms, an aryl group having 6 to 14 carbon atoms, a cycloalkyl group having 3 to 10 carbon atoms, an aralkyl group having 7 to 19 carbon atoms, an alkoxyalkyl group having 2 to 11 carbon atoms, a group containing a hetero atom in the carbon skeleton thereof, and a group containing a carbon-carbon unsaturated bond in the carbon skeleton thereof, wherein these groups may be straight or branched, may have an alicyclic hydrocarbon structure and may further have a substituent,
wherein said stringent conditions comprise washing at a salt concentration corresponding to 1\xd7SSC and 0.1% SDS at 60\xb0 C.
3. A cell transformed with the polynucleotide according to claim 1.
4. The cell according to claim 3, wherein the cell is Escherichia coli.
5. The polynucleotide according to claim 1, wherein the protein (B) comprises a substitution of the tyrosine located at position 339 with an amino acid selected from the group consisting of serine, histidine, and asaparagine.
6. The polynucleotide according to claim 1, wherein the protein (B) comprises substitution of the asparagine located at position 19 with a serine.
7. A method for producing a serine derivative comprising reacting an \u03b1-amino acid of formula (I):
with an aldehyde of formula (II):
in a culture comprising the cell according to claim 3 to form the serine derivative of formula (III):
wherein R1 is selected from the group consisting of an alkyl group having 1 to 7 carbon atoms, an aryl group having 6 to 14 carbon atoms, a cycloalkyl group having 3 to 10 carbon atoms, aralkyl group having 7 to 19 carbon atoms, alkoxyalkyl group having 2 to 11 carbon atoms, a group containing a hetero atom in the carbon skeleton thereof, and a group containing a carbon-carbon unsaturated bond in the carbon skeleton thereof, wherein these groups may be straight or branched, may have an alicyclic hydrocarbon structure and may further have a substituent,
wherein R2 is selected from the group consisting of hydrogen, an alkyl group having 1 to 7 carbon atoms, an aryl group having 6 to 14 carbon atoms, a cycloalkyl group having 3 to 10 carbon atoms, an aralkyl group having 7 to 19 carbon atoms, an alkoxyalkyl group having 2 to 11 carbon atoms, a group containing a hetero atom in the carbon skeleton thereof, and a group containing a carbon-carbon unsaturated bond in the carbon skeleton thereof, wherein these groups may be straight or branched, may have an alicyclic hydrocarbon structure and may further have a substituent.
8. The method for producing the serine derivative according to claim 7, wherein the culture further comprises the \u03b1-amino acid of formula (I) and the aldehyde of formula (II), and the culture is mixed to form the serine derivative of formula (III).
9. The method for producing the serine derivative according to claim 7, wherein the amino acid of formula (I) is an amino acid selected from the group consisting of phenylalanine, leucine, methionine, alanine, cysteine, tryptophan, isoleucine, cyclohexylalanine, 2-amino-n-butyric acid, 2-aminovaleric acid, 2-aminohexanoic acid, and combinations thereof.
10. The method for producing the serine derivative according to claim 7, wherein the amino acid of formula (I) is \u03b1-phenylalanine, and the serine derivative of formula (III) is \u03b1-benzylserine.
11. The method for producing the serine derivative according to claim 7, wherein the amino acid of formula (I) is \u03b1-leucine, and the serine derivative of formula (III) is \u03b1-isobutylserine.
12. The method for producing the serine derivative according to claim 7, wherein the amino acid of formula (I) is \u03b1-methionine, and the serine derivative of formula (III) is \u03b1-methylthioethylserine.

The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.

1. A radiant heating assembly, which comprises a radiant heating panel and tubing, wherein the radiant heating panel is made up of (a) a radiant heat transfer plate having a length and a center line that extends along the length, (b) mounting holes provided in the plate, and (c) an elongated C-shaped receptacle for receiving the tubing, wherein the C-shaped receptacle extends along the center line of the radiant heat transfer plate and is formed from upper and lower arcuate or angled sections, with at least the upper section terminating in an edge, wherein a plurality of depressions extend along an inner surface of the C-shaped receptacle that interfaces with the plate, the lower section of the C-shaped receptacle fixably attached to the plate along the center line of the plate, wherein the radiant heat transfer plate is completely planar except for areas containing mounting holes and the C-shaped receptacle, wherein the tubing is contained within the C-shaped receptacle and deforms to be in contact with inner surfaces of the plurality of depressions.
2. The radiant heating assembly of claim 1, wherein the radiant heating panel is constructed from a thermally conductive material.
3. The radiant heating assembly of claim 2, wherein the radiant heating panel is constructed from aluminum.
4. The radiant heating assembly of claim 3, wherein the radiant heating panel is an extruded, one-piece aluminum panel.
5. The radiant heating assembly of claim 1, wherein the plurality of depressions comprise two or more discontinuous depressions.
6. The radiant heating assembly of claim 1, wherein the plurality of depressions comprise two or more continuous depressions that each extend along the entire length of the inner surface of the lower section of the C-shaped receptacle, wherein each continuous depression is contiguous to at least one other continuous depression.
7. The radiant heating assembly of claim 6, wherein each depression is a U-shaped depression.
8. The radiant heating assembly of claim 7, wherein each U-shaped depression has a width ranging from about 0.13 to about 0.38 millimeters, and a depth ranging from about 0.25 to about 0.76 millimeters.
9. The radiant heating assembly of claim 1, wherein the plurality of depressions comprise two or more adjacent or contiguous depressions that extend across the entire width and along a length of the inner surface of the C-shaped receptacle that interfaces with the plate.
10. The radiant heating assembly of claim 1, wherein both the upper and lower sections of the elongated, C-shaped receptacle terminate in an outwardly flaring edge.
11. The radiant heating assembly of claim 1, wherein the C-shaped receptacle has a thickness of less than about 1.27 millimeters.
12. The radiant heating assembly of claim 11, wherein the thickness of the C-shaped receptacle is about 1.02 millimeters.
13. The radiant heating assembly of claim 1, wherein the tubing is prepared from raised temperature resistant polyethylene.
14. A radiant heating assembly, which comprises a radiant heating panel and tubing, wherein the radiant heating panel is made up of (a) a radiant heat transfer plate having a length and a center line that extends along the length, and (b) an elongated C-shaped receptacle for receiving the tubing, wherein the C-shaped receptacle extends along the center line of the radiant heat transfer plate and is formed from upper and lower arcuate or angled sections, with at least the upper section terminating in an edge, wherein a plurality of depressions extend along an inner surface of the C-shaped receptacle that interfaces with the plate, the lower section of the C-shaped receptacle fixably attached to the plate along the center line of the plate, wherein the tubing is contained within the C-shaped receptacle and deforms to be in contact with inner surfaces of the plurality of depressions.
15. The radiant heating assembly of claim 14, wherein the plurality of depressions comprise two or more adjacent or contiguous depressions that extend across the entire width and along a length of the inner surface of the C-shaped receptacle that interfaces with the plate.
16. The radiant heating assembly of claim 14, wherein the C-shaped receptacle has a thickness of less than about 1.27 millimeters.
17. The radiant heating assembly of claim 16, wherein the thickness of the C-shaped receptacle is about 1.02 millimeters.
18. The radiant heating assembly of claim 14, wherein the tubing is prepared from raised temperature resistant polyethylene.

1460752353-cadaafbf-95e6-4115-8c40-e2083ac91097

1. A method for assessing radar signature databases for use in training a radar target recognition decision algorithm, the method comprising the steps of:
generating radar signature data from at least three targets using a first process and a second process, wherein the radar signature data includes at least one of measured radar data and synthetic radar data, and wherein the targets comprise at least two different target classes, at least two targets being in a same target class and at least one target being in a different target class;
producing a first radar signature database using the first process and a second radar signature database using the second process;
comparing the first radar signature database and the second radar signature database using an information theoretic method;
computing an amount of cumulative mutual information between the first radar signature database and the second radar signature database for targets comprising the same target class and for targets comprising different target classes, wherein the cumulative mutual information comprises a sum of modal mutual information, MMI, derived from comparison of radar signature data from at least two targets, whereby numerical instabilities often incurred in computation of cumulative mutual information are eliminated through incremental computation of MMI; and
based on the amount of cumulative mutual information between the first radar signature database and the second radar signature database, determining whether the first process and second process are suitable for use together to generate a hybrid radar signature database for training the radar target recognition decision algorithm.
2. The method of claim 1 wherein the targets comprising the same target class include at least one target comprising at least one in-class structural variation of at least one dominant and isolated geometric mechanism that is conventionally critical to successful classification of targets to the same target class, wherein the in-class structural variation produces conventional signature features that are dissimilar to the radar signature data corresponding to the same target class.
3. The method of claim 2 wherein the amount of cumulative mutual information is \u22675 Nats.
4. The method of claim 1 wherein at least one of the targets comprising a different target class includes at least one target comprising at least one out-of-class structural variation of at least one dominant and isolated geometric mechanism that is conventionally critical to successful classification of targets to different target classes, wherein the out-of-class structural variation produces conventional signature features that are similar to the radar signature data corresponding to the different target class.
5. The method of claim 4 wherein the amount of cumulative mutual information is <5 Nats.
6. The method of claim 4 wherein the amount of cumulative mutual information is greater than zero and less than or equal to one.
7. The method of claim 1 further comprising conducting offline improvements to at least one target class.
8. The method of claim 1 wherein the first radar signature database consists of measured radar data and wherein the second radar signature database consists of synthetic radar data.
9. A method of using cumulative modal mutual information to identify real-time target measurements using automatic target recognition, the method comprising the steps of:
generating within an onboard radar system a first radar signature process measurement derived from a real-time target measurement, wherein the first radar signature process measurement is generated through a mapping to a fixed measurement aspect angle to a field target and a range of frequency sub-bands centered at a center reference transmit frequency;
producing a second radar signature process derived from a hybrid signature database, wherein the hybrid signature database comprises a combination of radar signature data derived from measured radar data and synthetic radar data;
comparing the first radar signature process measurement and the second radar signature process using an information theoretic method;
computing in real-time an amount of cumulative mutual information between the first radar signature process measurement and the second radar signature process, wherein the cumulative mutual information comprises a sum of modal mutual information, MMI, derived from comparison of the first radar signature process measurement and the second radar signature process, whereby numerical instabilities associated with computing cumulative mutual information are eliminated through incremental computation and combination of MMI; and
based on the amount of cumulative mutual information between the first radar signature process measurement and the second radar signature process, determining an identity of the field target.
10. The method of claim 9 wherein the target comprises at least one in-class structural variation of at least one dominant and isolated geometric mechanism that is conventionally critical to successful classification of the target, wherein the in-class structural variation produces signature features that are dissimilar to the radar signature data corresponding to the same target class.
11. The method of claim 10 wherein the amount of cumulative mutual information is \u22675 Nats.
12. The method of claim 9 wherein the target comprises at least one out-of-class structural variation of at least one dominant and isolated geometric mechanism that is conventionally critical to successful classification of the target, wherein the out-of-class structural variation produces signature features that are similar to the radar signature data corresponding to the different target class.
13. The method of claim 12 wherein the amount of cumulative mutual information is <5 Nats.
14. The method of claim 12 wherein the amount of cumulative mutual information is greater than zero and less than or equal to one.
15. The method of claim 9 wherein the hybrid signature database is validated using the method of claim 1.
16. The method of claim 9 further comprising conducting online improvements to a transmission waveform.

The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.

1. A method for inferring one or more physical property parameters of a subsurface media by inverting converted wave data acquired during a seismic survey, comprising:
generating a composite seismic trace at a plurality of survey azimuths, said composite traces being composed such that their amplitudes are free of effects of subsurface anisotropy; and
inverting at least one composite seismic trace by isotropic inversion to determine a property parameter of the subsurface media.
2. The method of claim 1 further comprising stacking the composite traces at all survey azimuths to generate a full-azimuth stack and inverting said full-azimuth stack by isotropic inversion.
3. The method of claim 1 further comprising stacking the composite traces at a plurality of survey azimuths to generate a multi-azimuth stack and inverting said multi-azimuth stack by isotropic inversion.
4. The method of claim 1, wherein each composite trace is a sum of time-adjusted PS11 mode data and PS22 mode data from orthogonal azimuths, the PS11 and PS22 mode data is generated by performing a tensor rotation on the radial and transverse components of the S-wave data, the PS11 mode data and PS22 mode data is time-adjusted by applying either a positive time-shift on the PS22 mode data or a negative time-shift on the PS11 mode data.
5. The method of claim 4, wherein the tensor rotation process utilizes an equation that can be expressed as
PS
11
\u03c6
PS
12
\u03c6
PS
21
\u03c6
PS
22
\u03c6
=
sin
\ue89e
\ue89e
\u03c6
cos
\ue89e
\ue89e
\u03c6
–
cos

\ue89e
\ue89e
\u03c6
sin
\ue89e
\ue89e
\u03c6
\ue8a0
PS
R
\u03c6
PS
T
\u03c6
PS
T

\u03c6
+
90
PS
R

\u03c6
+
90
\ue8a0
sin
\ue89e
\ue89e
\u03c6
–
cos

\ue89e
\ue89e
\u03c6
cos
\ue89e
\ue89e
\u03c6
sin
\ue89e
\ue89e
\u03c6
where \u03c6 is the azimuth of the survey, PSR\u03c6 and PST\u03c6 are the radial and transverse components of the converted wave seismic data at survey azimuth \u03c6, and PSR\u03c6+90 and PST\u03c6+90 are radial and transverse components from the orthogonal azimuth \u03c6+90.
6. The method of claim 4, wherein the inversion process utilizes a formula that can be expressed as
PS
PS
11

+

PS
22
HTI

\u2248

2
\ue89e

R
PS

ISO
,
F
=
2
\ue89e

(
–

2
g
\ue89e
\u0394\u03b2
F
\u03b2
F
–
g
+
2
2
\ue89e
g
\ue89e

\u0394\u03c1
\u03c1
)

\ue89e
sin
\ue89e
\ue89e
\u03b8

+
2
\ue89e

(
g
+
2
g
2
\ue89e
\u0394\u03b2
F
\u03b2
F
+
2
\ue89e
g

+
3
4
\ue89e

g
2
\ue89e

\u0394\u03c1
\u03c1
)

\ue89e

sin
3

\ue89e
\u03b8
2
\ue89e

(
–

2
g
\ue89e
\u0394
\ue89e
\ue89e

I
s
F
I
s
F
–
g
–
2
2
\ue89e
g
\ue89e

\u0394\u03c1
\u03c1
)

\ue89e
sin
\ue89e
\ue89e
\u03b8

+

2
\ue89e

(
g
+
2
g
2
\ue89e
\u0394
\ue89e
\ue89e

I
s
F
I
s
F
–
2
\ue89e
g

+
5
4
\ue89e

g
2
\ue89e

\u0394\u03c1
\u03c1
)

\ue89e

sin
3

\ue89e
\u03b8
\ue89e
PS
PS
11

+

PS
22
HTI

\u2248

\ue89e

2
\ue89e

R
PS

ISO
,
F
=

\ue89e
2
\ue89e

(
–

2
g
\ue89e
\u0394\u03b2
F
\u03b2
F
–
g
+
2
2
\ue89e
g
\ue89e

\u0394\u03c1
\u03c1
)

\ue89e
sin
\ue89e
\ue89e
\u03b8

+
\ue89e

2
\ue89e

(
g
+
2
g
2
\ue89e
\u0394\u03b2
F
\u03b2
F
+
2
\ue89e
g

+
3
4
\ue89e

g
2
\ue89e

\u0394\u03c1
\u03c1
)

\ue89e

sin
3

\ue89e
\u03b8
=

\ue89e
2
\ue89e

(
–

2
g
\ue89e
\u0394
\ue89e
\ue89e

I
s
F
I
s
F
–
g
–
2
2
\ue89e
g
\ue89e

\u0394\u03c1
\u03c1
)

\ue89e
sin
\ue89e
\ue89e
\u03b8

+
\ue89e

2
\ue89e

(
g
+
2
g
2
\ue89e
\u0394
\ue89e
\ue89e

I
s
F
I
s
F
–
2
\ue89e
g

+
5
4
\ue89e

g
2
\ue89e

\u0394\u03c1
\u03c1
)

\ue89e

sin
3

\ue89e
\u03b8
where \u03b2F is the average fast S-wave velocity of an incident media and reflecting media at an interface, IsF is the average fast S-wave impedance of the incident and reflecting media, p is the average density of the incident and reflecting media, \u0394\u03b2F is the difference in fast S-wave velocity between the incident and reflecting media, \u0394IsF is the difference in fast S-wave impedance between the incident and reflecting media, \u0394\u03c1 is the difference in density between the incident and reflecting media.
7. The method of claim 6, wherein the property parameter is
\u0394\u03b2
F
\u03b2
F
\ue89e
\ue89e
or
\ue89e
\ue89e
\u0394
\ue89e
\ue89e

I
s
F
I
s
F
\ue89e
\ue89e
or
\ue89e
\ue89e
\u0394\u03c1
\u03c1

.
8. The method of claim 6, wherein the property parameter is \u0394\u03b2F or \u0394IsF, or \u0394p.
9. The method of claim 1, wherein each composite trace is a sum of PSV modes from orthogonal traces, said PSV modes being obtained from a two-component rotation of radial and transverse components of the converted wave data.
10. The method of claim 9, wherein the inversion process utilizes a formula that can be expressed as
PS
PS
11

+

PS
22
HTI

\u2248

2
\ue89e

R
PS

ISO
,
F
=
2
\ue89e

(
–

2
g
\ue89e
\u0394\u03b2
F
\u03b2
F
–
g
+
2
2
\ue89e
g
\ue89e

\u0394\u03c1
\u03c1
)

\ue89e
sin
\ue89e
\ue89e
\u03b8

+
2
\ue89e

(
g
+
2
g
2
\ue89e
\u0394\u03b2
F
\u03b2
F
+
2
\ue89e
g

+
3
4
\ue89e

g
2
\ue89e

\u0394\u03c1
\u03c1
)

\ue89e

sin
3

\ue89e
\u03b8
2
\ue89e

(
–

2
g
\ue89e
\u0394
\ue89e
\ue89e

I
s
F
I
s
F
–
g
–
2
2
\ue89e
g
\ue89e

\u0394\u03c1
\u03c1
)

\ue89e
sin
\ue89e
\ue89e
\u03b8

+

2
\ue89e

(
g
+
2
g
2
\ue89e
\u0394
\ue89e
\ue89e

I
s
F
I
s
F
–
2
\ue89e
g

+
5
4
\ue89e

g
2
\ue89e

\u0394\u03c1
\u03c1
)

\ue89e

sin
3

\ue89e
\u03b8
\ue89e
PS
PS
11

+

PS
22
HTI

\u2248

\ue89e

2
\ue89e

R
PS

ISO
,
F
=

\ue89e
2
\ue89e

(
–

2
g
\ue89e
\u0394\u03b2
F
\u03b2
F
–
g
+
2
2
\ue89e
g
\ue89e

\u0394\u03c1
\u03c1
)

\ue89e
sin
\ue89e
\ue89e
\u03b8

+
\ue89e

2
\ue89e

(
g
+
2
g
2
\ue89e
\u0394\u03b2
F
\u03b2
F
+
2
\ue89e
g

+
3
4
\ue89e

g
2
\ue89e

\u0394\u03c1
\u03c1
)

\ue89e

sin
3

\ue89e
\u03b8
=

\ue89e
2
\ue89e

(
–

2
g
\ue89e
\u0394
\ue89e
\ue89e

I
s
F
I
s
F
–
g
–
2
2
\ue89e
g
\ue89e

\u0394\u03c1
\u03c1
)

\ue89e
sin
\ue89e
\ue89e
\u03b8

+
\ue89e

2
\ue89e

(
g
+
2
g
2
\ue89e
\u0394
\ue89e
\ue89e

I
s
F
I
s
F
–
2
\ue89e
g

+
5
4
\ue89e

g
2
\ue89e

\u0394\u03c1
\u03c1
)

\ue89e

sin
3

\ue89e
\u03b8
where \u03b2F is the average fast S-wave velocity of an incident media and reflecting media at an interface, IsF, is the average fast S-wave impedance of the incident and reflecting media, \u03c1 is the average density of the incident and reflecting media, \u0394\u03b2F is the difference in fast S-wave velocity between the incident and reflecting media, \u0394IsF is the difference in fast S-wave impedance between the incident and reflecting media, \u0394p is the difference in density between the incident and reflecting media.
11. The method of claim 10, wherein the property parameter is
\u0394
\ue89e
\ue89e

\u03b2
F
\u03b2
F
\ue89e
\ue89e
or
\ue89e
\ue89e
\u0394
\ue89e
\ue89e

I
s
F
I
s
F
\ue89e
\ue89e
or
\ue89e
\ue89e
\u0394\u03c1
\u03c1

.
12. The method of claim 10, wherein the property parameter is \u0394\u03b2F or \u0394IsF or \u0394p.
13. The method of claim 9, wherein the two-component rotation generates PS1 mode data and PS2 mode data, the PS1 mode data and PS2 mode data is then time adjusted by applying either a positive time-shift on the PS2 mode data or a negative time-shift on the PS1 mode data.
14. The method of claim 13, wherein the two-component rotation utilizes an equation that can be expressed as
P
\ue89e
\ue89e
S
\ue89e
\ue89e
V
P
\ue89e
\ue89e
S
\ue89e
\ue89e
H
=
sin
\ue89e
\ue89e
\u03c6
cos
\ue89e
\ue89e
\u03c6
–
cos

\ue89e
\ue89e
\u03c6
sin
\ue89e
\ue89e
\u03c6
\ue8a0
PS
1
PS
2
where \u03c6 is the azimuth of the survey with respect to the fractures normal.
15. The method of claim 1, wherein the isotropic inversion is performed on a computer.
16. A method for producing hydrocarbons from a subsurface formation comprising:
obtaining seismic data from a multi-component seismic survey of the subsurface formation;
processing the seismic data using a method of claim 1 to determine at least one subsurface rock property estimate;
drilling a well into the subsurface formation based at least in part on the rock property estimate; and
producing hydrocarbons from the well.